A saddle height marker determination method, a children's balance car and an adjustment method

Abstract

The application relates to the technical field of children's balance cars, in particular to a saddle height mark determination method, a children's balance car and an adjusting method, which comprises the following steps: determining an initial theoretical saddle height corresponding to each test height interval based on test data; obtaining static measurement data corresponding to each initial theoretical saddle height, and determining a plurality of static indexes and static index measurement values; fine-tuning abnormal theoretical saddle heights to obtain corresponding corrected saddle heights; determining a plurality of dynamic indexes and dynamic index measurement values based on each dynamic measurement data; comparing the dynamic index measurement value of each dynamic index with a corresponding preset dynamic index theoretical value interval, fine-tuning abnormal corrected saddle heights, and obtaining a target saddle height corresponding to each test height interval. The application is convenient for improving the matching accuracy of the saddle height of children in different height intervals, matching the body development characteristics of children, and promoting the establishment of correct riding postures.

Description

Technical Field

[0001] This application relates to the field of children's balance bike technology, and in particular to a method for determining saddle height marking, a children's balance bike, and an adjustment method. Background Technology

[0002] Balance bike riding has a positive effect on children's motor skills and psychological development. It not only improves children's motor abilities but also promotes the development of self-confidence, emotional management, and social skills. However, since children are still in the growth and development stage, an ergonomically designed saddle is crucial for protecting the development of the sciatic nerve. The correct saddle height and riding posture help the healthy development of children's musculoskeletal system. Conversely, an unsuitable saddle height can lead to compensatory movements, which, in the long run, may result in poor posture, muscle imbalances, scoliosis, and other health problems.

[0003] Most existing children's balance bikes use a height-adjustable saddle structure, and may only have standard equidistant scale markings on the saddle seat tube. In actual adjustment, guardians often rely on their personal subjective experience and the saddle markings to roughly determine and adjust the saddle installation position. This method of relying on experience, visual estimation, and equidistant scales for rough adjustment may not be able to accurately match the saddle height to the optimal posture position that suits the child's ergonomics, which can easily lead to problems such as unreasonable riding posture and limb force compensation. Summary of the Invention

[0004] To improve the accuracy of matching saddle height with children of different height ranges and ensure proper riding posture and healthy growth and development, this application provides a method for determining saddle height marking, a children's balance bike, and an adjustment method.

[0005] Firstly, this application provides a method for determining saddle height markings, employing the following technical solution: A method for determining saddle height markings, applied to a testing system, includes: Acquire test data of children's balance bikes and determine the initial theoretical saddle height corresponding to each test height range based on the test data. The test data includes height data and sitting posture size data of children of different ages and genders. Obtain static measurement data corresponding to each initial theoretical saddle height, and determine multiple static indicators and static indicator measurement values ​​corresponding to each initial theoretical saddle height after static testing in the corresponding test height range based on each static measurement data. The static measurement data is the static sitting posture data of each child with different test height and different gender in the corresponding test height range on the saddle of the test children's balance bike at the corresponding initial theoretical saddle height. The static index measurement value of each static index is compared with the corresponding preset static index theoretical value range to determine whether there is an abnormal theoretical saddle height. The abnormal theoretical saddle height is the initial theoretical saddle height corresponding to the abnormal static index measurement value. If so, the abnormal theoretical saddle height is fine-tuned to obtain the corrected saddle height corresponding to each test height range; Acquire dynamic measurement data corresponding to each corrected saddle height, and determine multiple dynamic indicators and dynamic indicator measurement values ​​corresponding to each corrected saddle height after dynamic testing in the corresponding test height range based on each dynamic measurement data. The dynamic measurement data is the dynamic riding data of each child with different test height and different gender in the corresponding test height range on the saddle of the test children's balance bike with the corresponding corrected saddle height. The measured value of each dynamic indicator is compared with the corresponding preset theoretical value range of the dynamic indicator to determine whether there is an abnormal correction saddle height. The abnormal correction saddle height is the correction theoretical saddle height corresponding to the abnormal dynamic indicator measurement value. If so, the abnormal correction saddle height is fine-tuned to obtain the target saddle height corresponding to each test height range.

[0006] By adopting the above technical solution, height and sitting posture data of children of different ages and genders are first combined to divide height ranges and determine the initial theoretical saddle height, providing a quantitative basis for saddle height calibration. By collecting static sitting posture data of children at each initial theoretical saddle height, static index measurement values ​​are extracted and compared with preset theoretical ranges to accurately identify abnormal theoretical saddle heights and make fine adjustments to obtain corrected saddle heights. This facilitates the optimization of sitting posture adaptability from a static ergonomic perspective, avoiding limb compensation problems caused by unreasonable sitting postures. Then, dynamic index measurement values ​​are extracted based on dynamic cycling data, and dynamic index compliance verification is carried out to screen for abnormal corrected saddle heights and make fine adjustments again. Finally, the target saddle height for each height range is determined. Through the dual-layer closed-loop correction mode of static sitting posture verification and dynamic cycling verification, both static body posture adaptation and dynamic cycling control needs are taken into account, making it easy to achieve accurate saddle height calibration for children of different ages, genders and heights. This significantly improves the matching degree between saddle height and children's body size and cycling posture, effectively reducing the risk of musculoskeletal damage caused by poor cycling posture.

[0007] In one possible implementation, the measured value of the static indicator is compared with the corresponding preset theoretical value range of the static indicator to determine whether there is an abnormal theoretical saddle height, including: Key indicators are identified from the static indicators. The measured values ​​of the key indicators are compared with the corresponding preset theoretical value range of the static indicators to determine whether the key indicators meet the standards. If not, it is determined that there is an abnormal theoretical saddle height. If so, based on the measured value of the key indicator corresponding to the key indicator and the preset static indicator optimization range corresponding to each non-key indicator, it is determined whether each non-key indicator meets the standard. If there is a non-key indicator that does not meet the standard, it is determined that there is an abnormal theoretical saddle height. The non-key indicators are other indicators in the static indicators besides the key indicators.

[0008] By adopting the above technical solution, and by distinguishing between key and non-key indicators in static indicators, and using a layered verification logic, it is easier to accurately and efficiently identify abnormal theoretical saddle heights, improve the scientificity and rigor of saddle height calibration, prioritize the verification of key indicators, and quickly identify core adaptation problems. On the basis of key indicators meeting the standards, non-key indicators are verified in combination with preset optimization intervals to further investigate potential adaptation risks and avoid minor deviations in sitting posture caused by non-key indicators not meeting the standards, thus balancing adaptation accuracy and comprehensiveness.

[0009] In one possible implementation, based on the key indicator measurement value corresponding to the key indicator and the preset static indicator optimization range corresponding to the non-key indicator, it is determined whether the non-key indicator meets the standard, including: Based on the measured values ​​of the key indicators and the corresponding preset static indicator theoretical value ranges, the centering degree of the key indicators is determined. The anomaly detection fluctuation value of the non-key indicators is determined based on the centering degree of the key indicators; Based on the anomaly detection floating value, update the preset static indicator theoretical value range corresponding to the non-key indicator to obtain the preset static indicator optimization range corresponding to the non-key indicator. If the measured value of the non-key indicator does not fall within the corresponding preset static indicator optimization range, then the non-key indicator is determined to be substandard.

[0010] By adopting the above technical solution, the judgment criteria of non-key indicators are adjusted in conjunction with the centering degree of key indicators, thereby achieving dynamic adaptation and precision of static indicator verification. The preset optimization range of non-key indicators is updated by floating values, and the non-key indicators are judged to meet the standards based on the optimized range. This facilitates the accurate identification of potential adaptation problems caused by deviations of non-key indicators, while avoiding ineffective fine-tuning caused by overly strict judgments.

[0011] In one possible implementation, the abnormal theoretical saddle height is fine-tuned to obtain a corrected saddle height corresponding to the test height range, including: Obtain the adjustable saddle height range corresponding to the abnormal theoretical saddle height; Obtain the static handlebar cross tube angle and static saddle distance of the tested children's balance bike during the static testing phase; Based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing, the abnormal theoretical saddle height is finely adjusted to obtain the corrected saddle height corresponding to the test height range.

[0012] By adopting the above technical solution, the adjustable saddle height range corresponding to the abnormal theoretical saddle height is first defined, and the adjustment boundary is limited to avoid problems such as excessive adjustment range or exceeding the reasonable assembly range. At the same time, the handlebar cross tube angle and static saddle distance from the static testing phase are introduced as related constraint parameters. Combined with the ergonomic relationship of the control triangle, they participate in the height fine-tuning. This makes the saddle height adjustment no longer rely solely on its own indicators, but rather coordinates and optimizes the spatial geometry between the handlebars and the saddle. This ensures that the corrected saddle height meets the ergonomic requirements of children's static sitting posture and matches the overall geometric control layout of the balance bike, thereby improving the basic reliability of subsequent dynamic riding adaptation.

[0013] In one possible implementation, the step of fine-tuning the abnormal theoretical saddle height based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing to obtain the corrected saddle height corresponding to the test height range includes: Based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the abnormal theoretical saddle height is finely adjusted to obtain the finely adjusted saddle height corresponding to the measured height range. Obtain the fine-tuning static measurement data corresponding to the fine-tuning saddle height. If the fine-tuning static measurement data does not contain any unmet indicators, then the fine-tuning saddle height is determined as the corrected saddle height corresponding to the test height range. If the fine-tuning static measurement data does not meet the standard, then based on the fine-tunable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle and the static saddle spacing, multiple static fine-tuning parameter combinations are determined. The static fine-tuning parameter combinations include static fine-tuning saddle height, static fine-tuning handlebar cross tube angle and static fine-tuning saddle spacing. Obtain the static measurement data of each static fine-tuning parameter combination, and determine the static fine-tuning saddle height in the static fine-tuning parameter combination corresponding to the qualified static measurement data of the fine-tuning combination as the corrected saddle height corresponding to the test height range.

[0014] By adopting the above technical solution, the abnormal theoretical saddle height is first initially adjusted within the adjustable saddle height range, and then a single verification is performed using the corresponding static measurement data. If all indicators meet the standards, the corrected saddle height is directly determined. If there are still indicators that do not meet the standards after the first fine-tuning, the saddle height is no longer adjusted individually. Instead, multiple sets of static fine-tuning parameters are constructed by combining the adjustable height range, the static handlebar cross tube angle, and the static saddle spacing. This achieves coordinated adjustment of saddle height, handlebar angle, and saddle spacing, effectively avoiding the problems of single fine-tuning failing to meet the standards and local adjustments disrupting the overall riding posture. This significantly improves the calibration accuracy and overall fit rationality of the corrected saddle height.

[0015] In one possible implementation, the dynamic measurement data includes: Data on leg raise and power generation, heel touchdown, sole touchdown, and leg pull-back.

[0016] By adopting the above technical solution, the dynamic measurement data is further divided into four types of cycling conditions: leg lift and power generation, heel touch, foot touch, and leg pull-back. This facilitates comprehensive coverage of the entire process of key lower limb movements during children's cycling. Based on the various subdivided dynamic measurement data, corresponding dynamic indicators are extracted, which facilitates accurate identification of subtle deviations in saddle height adaptation under different cycling conditions.

[0017] In one possible implementation, dynamic measurement data corresponding to the corrected saddle height is obtained, including: Obtain the corrected test height range corresponding to the corrected saddle height; During the dynamic cycling test of children of different genders within the corrected height range, the knee height angle, knee flexion and EMG amplitude of each child during the leg lift power accumulation phase were obtained to obtain the leg lift power accumulation measurement data. During the dynamic cycling test of children of different genders within the corrected height range, the knee extension angle and tibialis anterior muscle EMG signal of each child at the heel-to-ground contact stage were obtained to obtain the heel-to-ground contact measurement data. During the dynamic cycling test of children of different genders within the corrected height range, the hip extension angle, knee extension angle, quadriceps EMG signal and gastrocnemius EMG signal of each child at the foot contact stage were obtained to obtain the foot contact measurement data. During dynamic cycling tests on children of different genders within the corrected height range, the hip extension angle, hamstring EMG signal, knee extension angle, and core muscle EMG signal of each child during the leg pull-back phase were acquired to obtain the leg pull-back measurement data.

[0018] By adopting the above technical solution and integrating multi-stage and multi-dimensional kinematic and electromyographic parameters, a complete and detailed dynamic measurement data system is constructed. This system can comprehensively reflect the postural characteristics and muscle stress state of children riding under corrected saddle height, providing refined data basis for subsequent dynamic index comparison, abnormal saddle height identification, and secondary fine-tuning. This allows saddle height calibration to take into account both static sitting posture adaptation and joint movement and muscle group conformity to ergonomic requirements throughout the dynamic riding process, significantly improving the professionalism, accuracy, and universality of saddle height calibration.

[0019] Secondly, a children's balance bike is provided, including: an adjustable saddle stem with target saddle height markings corresponding to different height ranges; and an ergonomic saddle with a saddle width adapted to the percentile range of ischial width distribution for children of different ages, and a narrowing structure at the front end to reduce friction on the inner thighs.

[0020] Thirdly, an adjustment method is provided, employing the following technical solution: An adjustment method, comprising: Obtain the actual height of the child to be ridden; Select the actual height range corresponding to the actual height from the adjustable saddle riser, and adjust the saddle height of the child balance bike based on the target saddle height corresponding to the actual height range.

[0021] In one possible implementation, the adjustment method further includes: Obtain historical adjustment records and determine the rate of change of the child's height based on the historical adjustment records; Based on the rate of height change, determine whether the child to be ridden is in a rapid growth phase; If so, an adjustment update prompt will be generated to remind parents to regularly adjust the saddle height of the children's balance bike to ensure that the saddle height always fits the current body size proportion; If not, then a fine-tuning suggestion is generated based on the stated rate of height change.

[0022] Fourthly, this application provides an electronic device that adopts the following technical solution: An electronic device comprising: At least one processor; Memory; At least one application, wherein the at least one application is stored in memory and configured to be executed by at least one processor, the at least one application being configured to: perform the method shown in any possible implementation of the first aspect above.

[0023] Fifthly, this application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the methods shown in any possible implementation of the first aspect above.

[0024] Sixthly, this application provides a computer program product, which adopts the following technical solution: A computer program product includes a computer program that, when executed by a processor, implements the method shown in any possible implementation of the first aspect above.

[0025] In summary, this application includes at least one of the following beneficial technical effects: First, by combining height and sitting posture data of children of different ages and genders, height ranges are divided and initial theoretical saddle heights are determined, providing a quantitative basis for saddle height calibration. By collecting static sitting posture data of children at each initial theoretical saddle height, static index measurements are extracted and compared with preset theoretical ranges to accurately identify abnormal theoretical saddle heights and make fine adjustments to obtain corrected saddle heights. This facilitates optimization of sitting posture adaptability from a static ergonomic perspective, avoiding limb compensation problems caused by unreasonable sitting postures. Then, dynamic index measurements are extracted based on dynamic cycling data, and dynamic index compliance is verified. Abnormal corrected saddle heights are screened and fine-tuned again to finally determine the target saddle height for each height range. Through a two-layer closed-loop correction mode of static sitting posture verification and dynamic cycling verification, both static body posture adaptation and dynamic cycling control needs are taken into account, making it easy to accurately calibrate saddle heights for children of different ages, genders, and heights. This significantly improves the matching degree between saddle height and children's body size and cycling posture, effectively reducing the risk of musculoskeletal damage caused by poor cycling posture.

[0026] By integrating and collecting kinematic and electromyographic parameters across multiple stages and dimensions, a complete and detailed dynamic measurement data system is constructed. This system comprehensively reflects the postural characteristics and muscle stress state of children riding under corrected saddle height, providing refined data for subsequent dynamic index comparison, abnormal saddle height identification, and secondary fine-tuning. This ensures that saddle height calibration takes into account both static sitting posture adaptation and joint movement and muscle group compliance with ergonomic requirements throughout the entire dynamic riding process, significantly improving the professionalism, accuracy, and universality of saddle height calibration. Attached Figure Description

[0027] Figure 1 This is a flowchart illustrating a method for determining saddle height marking in an embodiment of this application; Figure 2 This is a schematic diagram of a static measurement of riding posture in an embodiment of this application; Figure 3This is a schematic diagram simulating a leg-raising and power-gathering state. Figure 4 This is a schematic diagram simulating a heel-to-ground contact state; Figure 5 This is a schematic diagram simulating a foot touching the ground. Figure 6 This is a schematic diagram simulating a leg pulling back position. Figure 7 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application. Detailed Implementation

[0028] The following is in conjunction with the appendix Figures 1 to 7 This application will be described in further detail.

[0029] After reading this specification, those skilled in the art may make modifications to this embodiment without contributing any inventive step, but such modifications are protected by patent law as long as they fall within the scope of the claims of this application.

[0030] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0031] It should be noted that, in the optional embodiments of this application, the data related to object information, when applied to specific products or technologies, requires the permission or consent of the object. Furthermore, the collection, use, and processing of this data must comply with the relevant laws, regulations, and standards of the relevant countries and regions. In other words, if the embodiments of this application involve data related to an object, it must be obtained with the object's authorization and consent, the authorization and consent of relevant departments, and in accordance with the relevant laws, regulations, and standards of the country and region. If the embodiments involve personal information, the acquisition of all personal information requires the individual's consent. If sensitive information is involved, the separate consent of the information subject is required. The embodiments also need to be implemented with the object's authorization and consent.

[0032] Specifically, this application provides a method for determining saddle height marking, applied to a testing system. The testing system includes: a test for a children's balance bike; a motion capture device positioned at a preset test location to capture angular and kinematic parameters generated by the child during the riding test; and an electronic device communicatively connected to the motion capture device to execute the saddle height marking determination method. The electronic device can be a server or a terminal device. The server can be an independent physical server, a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smartphone, tablet, laptop, desktop computer, etc., but is not limited to these. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, and this application does not impose any limitations on this.

[0033] refer to Figure 1 , Figure 1 This is a flowchart illustrating a method for determining saddle height markings according to an embodiment of this application. The method includes steps S110-S170, wherein: Step S110: Obtain test data for the children's balance bike and determine the initial theoretical saddle height for each test height range based on the test data. The test data includes height data and sitting posture size data for children of different ages and genders.

[0034] Specifically, the tested children's balance bikes are those whose saddle height needs to be marked and determined before leaving the factory. The test data can be extracted based on the GB / T26158-2010 standard and measurement tests. The test data includes height data and sitting posture dimension data of children of different ages and genders. Among them, the sitting posture dimension data is the perineal height measured by children of different ages and genders sitting on the saddle of the test children's balance bike, with their hands holding the handlebars and their feet placed on the sides of the balance bike or on the flat floor. That is, the distance from the saddle contact point to the sole of the foot in the sitting position. Static images of the test children can be captured by an image acquisition device set at the test children's balance bike and uploaded to an electronic device. The electronic device will then identify the skeletal points contained in the static images. Alternatively, motion capture devices set at the test children's balance bike can be used to capture images and upload them to an electronic device. The specific acquisition method is not specifically limited in this application embodiment.

[0035] The industry-standard method is as follows: The child stands in a straddle position directly above the balance bike saddle, holding the handlebars in each hand, with their feet shoulder-width apart on either side of the bike. An adult then extends a hand, placing it horizontally between the child's groin and the saddle, with the outer side (little finger side) of the hand resting on the saddle surface and the inner side (index finger side) touching the child's groin. According to adjustment standards, the appropriate saddle height is when "the outer side of the index finger just touches the child's groin, and the outer side of the little finger is just touching the saddle surface." This method is widely used in the vehicle preparation stage before professional balance bike competitions and in the selection and adjustment stage for everyday riding, and is well-known within the industry and among parenting professionals. The rationale behind the above method lies in its basis in anthropometry. The width from the index finger to the little finger of an adult (approximately 7-9 cm, with significant differences in hand width among different genders, ages, and individual characteristics) naturally constitutes a relatively fixed unit of measurement. Using this length as the distance between the upper surface of the saddle and the perineum ensures that the saddle height is set within the range where children can smoothly pedal and have a reasonable range of motion in their knee and ankle joints when riding in a seated position.

[0036] However, this method uses the width of the human hand as the unit of measurement for length. Significant differences exist in hand width among individuals (different genders, ages, and developmental levels). For example, a 17cm long adult male hand typically has a width of 7-9cm between the index finger and little finger, while an adult female hand typically has a width of 6-8cm. This difference directly leads to inconsistencies in the measurement results. Furthermore, even with the same measurer, the angle of hand tilt, the way the hand contacts the saddle, and minor adjustments to the child's posture can all affect the final measurement. Additionally, this method requires the adult measurer to place their hand near the child's perineum, with the index finger side touching the perineum. On one hand, the perineum is a sensitive and private area; touching this area can easily cause tension, discomfort, and anxiety in the child. On the other hand, even with good intentions for vehicle adjustment, this action can visually and verbally raise questions about "inappropriate physical contact" from others and guardians. Whether the measurement process takes place in an open sports venue, an outdoor track, or a closed indoor space, the lack of privacy can cause anxiety, embarrassment, or even anger to children and their guardians.

[0037] However, since perineal height directly reflects the core human body dimensions of a child's effective lower limb length and is the most critical and direct parameter for determining saddle height, the method provided in this application embodiment can obtain the perineal height of the test child without contact and use the perineal height of the test child to participate in the subsequent determination of saddle height marking. This facilitates the accurate quantitative calibration and standardized adjustment of saddle height while completely avoiding physical contact and not touching the child's private parts.

[0038] First, basic groups can be formed according to age. Based on the rapid growth and development patterns of children, children can be divided into several typical developmental stages, such as 18-30 months, 3-4 years, 4-6 years, and 6-8 years. This makes the rate of physical development and limb proportions more consistent within each group. Then, groups can be formed by gender. Significant statistical differences exist in height, leg length, and perineal height between boys and girls within the same age group. Therefore, separate subgroups for boys and girls can be established within each age group. Finally, height intervals can be divided within the "age group + gender" group. For each "age group + gender" subgroup, continuous and non-overlapping test height intervals can be further divided according to a preset step length (e.g., 5cm per interval). The specific value of the preset step length is not specifically limited in this embodiment and can be set by relevant personnel according to actual needs. The data relationship between the average height and average perineal height of each measurement height interval for each age is calculated using the following formula: ; ; Wherein: H （seat，i） Let be the initial theoretical saddle height corresponding to the i-th test height range; H( perineum，i） The average perineal height of children corresponding to the i-th test height interval; H( height，i） Let be the average height corresponding to the i-th test height interval; Δa is an empirical correction value, which can be referenced to the industry-standard difference of 2-5cm. k and b are linear fitting coefficients obtained by fitting human body size data according to GB / T26158-2010 national standard. Different age groups and different genders correspond to independent fitting coefficients.

[0039] Based on the above method, multiple test height ranges can be obtained, as well as the initial theoretical saddle height corresponding to each test height range. The initial theoretical saddle height is the saddle height that initially conforms to the corresponding test height range.

[0040] Step S120: Obtain static measurement data corresponding to each initial theoretical saddle height, and determine multiple static indicators and static indicator measurement values ​​corresponding to each initial theoretical saddle height after static testing within the corresponding test height range based on each static measurement data. The static measurement data are the static sitting posture data of each child with different test heights and genders on the saddle of the test children's balance bike at the corresponding initial theoretical saddle height within the corresponding test height range.

[0041] Specifically, static measurement data refers to the actual static sitting posture data of the test children at the corresponding initial theoretical saddle height, to verify whether the initial theoretical saddle height meets the static ergonomic requirements and to identify possible deviations between theoretical calculations and actual postures. For any given initial theoretical saddle height, the saddle height of the test children's balance bike is adjusted according to this initial theoretical saddle height, and multiple test children within the corresponding test height range are asked to sit on the test children's balance bike, holding the handlebars with both hands, maintaining a natural sitting posture, such as... Figure 2 As shown, Figure 2 To illustrate a static measurement of a child's cycling posture during a static test, an electronic protractor or motion capture device can be used to sequentially measure and record the static measurement data for each child. The static measurement data includes: The angle between the thigh and the body, measured by the angle between the child's upper limb (from the hip joint to the leg joint) and the torso and thigh, is the angle between the torso and the thigh. Figure 2 The included angle is 2A; The angle between the forearm and the body, that is, the angle between the line running from the shoulder joint to the wrist joint and the long axis of the torso, such as... Figure 2 The included angle is 2B; The knee flexion angle, that is, the angle between the thigh axis and the lower leg axis on the back side of the knee joint, such as... Figure 2 The included angle is 2C; The angle between the lower leg and the foot, that is, the angle between the axis of the lower leg and the plane of the foot, such as... Figure 2 The included angle is 2D.

[0042] The static indices in the static measurement data are the multiple included angles obtained from the above measurements, and the measured values ​​of the static indices are the specific angular values ​​of these multiple included angles. Based on the above method, multiple static indices and their measured values ​​can be obtained for each initial theoretical saddle height.

[0043] Step S130: Compare the measured value of each static indicator with the corresponding preset theoretical value range of the static indicator to determine whether there is an abnormal theoretical saddle height. The abnormal theoretical saddle height is the initial theoretical saddle height corresponding to the abnormal static indicator measured value.

[0044] Specifically, each static indicator corresponds to a preset theoretical value range. This preset range is a standard range that the static indicator should fall into when the sitting posture is reasonable, set according to pediatric ergonomics, biomechanics, and the GB / T26158-2010 standard. When the measured value of a static indicator falls into the corresponding standard range, it indicates that the corresponding static indicator is in a reasonable and pressure-free ergonomic state, meaning that the initial theoretical saddle height allows the tested child to maintain a natural posture, without limb compression, muscle compensation, or abnormal joint load—a standard static sitting posture. To determine the preset theoretical value range for a static indicator, first identify the affected muscle groups and body pressure distribution area corresponding to that static indicator. Then, simultaneously collect body pressure and electromyography (EMG) data under different indicator values ​​using a pressure distribution measuring pad and a surface EMG tester. Using uniform body pressure, no localized high pressure, no compensatory tension in the affected muscle groups, and balanced EMG signals as criteria, select the numerical range that meets the requirements of pediatric ergonomics and biomechanics. This range is then determined as the preset theoretical value range for that static indicator. For example... For example, if the static index is the knee flexion angle, first determine the affected muscle groups corresponding to this static index, mainly including the quadriceps, hamstrings, and gastrocnemius. Then, test at the same initial theoretical saddle height but different knee flexion angles. When the knee flexion angle is between 120° and 140°, the ischial tuberosity pressure is uniform with no localized high pressure, and the quadriceps, hamstrings, and gastrocnemius show no compensatory tension and balanced electromyographic signals. Therefore, 120°-140° is determined as the preset theoretical value range for the static index of the knee flexion angle. Through the above method, the preset theoretical value ranges for each static index at the initial theoretical saddle height can be determined: The theoretical range of the preset static index value corresponding to the angle between the thigh and the body is 85°-100°. The theoretical range of the preset static index value corresponding to the angle between the forearm and the body is 60°-80°. The theoretical range of the preset static index value for the knee flexion angle is 120°-140°. The theoretical range of the preset static index for the angle between the lower leg and the foot is 80°-100°.

[0045] For any static indicator collected from any test child at the corresponding initial theoretical saddle height, the measured value of the static indicator is compared with the corresponding preset theoretical value range. If the measured value of the static indicator exceeds the corresponding preset theoretical value, it indicates the existence of an abnormal static indicator. In this case, the initial theoretical saddle height corresponding to the abnormal static indicator can be determined as the abnormal theoretical saddle height. Since different static indicators have different sensitivities to saddle height and are easily affected by non-saddle height factors such as the test child's standing habits, trunk relaxation level, and temporary posture deviations, resulting in a large fluctuation range, the comparison of the measured value of the static indicator with the corresponding preset theoretical value range to determine whether there is an abnormal theoretical saddle height can specifically include: From the static indicators, key indicators are identified. The measured values ​​of the key indicators are compared with the corresponding preset theoretical value range of the static indicators to determine whether the key indicators meet the standards. If not, it is determined that there is an abnormal theoretical saddle height. If so, based on the measured values ​​of the key indicators and the preset optimization range of the static indicators for each non-key indicator, it is determined whether each non-key indicator meets the standards. If there are non-key indicators that do not meet the standards, it is determined that there is an abnormal theoretical saddle height. Non-key indicators are other indicators in the static indicators besides the key indicators.

[0046] Specifically, a preset feature recognition algorithm can be used to identify key indicators from all static indicators. These key indicators are directly and strongly correlated with saddle height. If the value exceeds the corresponding preset theoretical value range for the static indicator, it indicates a fundamental error in the saddle height, and an anomaly can be directly determined. In this application embodiment, the knee flexion angle is a key indicator among all static indicators, while the angles between the thigh and body, forearm and body, and lower leg and foot are non-key indicators. First, the measured values ​​of the key indicators are compared with the corresponding preset theoretical value ranges for the static indicators: If it does not fall within the range, it indicates that the key indicators do not meet the standards. At this time, it can be directly determined that there are abnormal static indicators, and the initial theoretical saddle height corresponding to the abnormal static indicator is determined as the abnormal theoretical saddle height. If the value falls within the range, it indicates that the key indicators have met the standards, and then the process of judging non-key indicators begins.

[0047] For each non-key indicator, the measured value of the non-key indicator is compared with the corresponding preset static indicator optimization range. If any non-key indicator does not fall into the corresponding range, it is determined that there is an abnormal static indicator; if all non-key indicators fall into the corresponding range, it is determined that there is no abnormal static indicator, that is, the corresponding initial theoretical saddle height is the normal theoretical saddle height.

[0048] Because testing a child's sitting posture is an interconnected and mutually influential whole, the various static indicators are not independent but exhibit significant linkage and compensatory effects. Key indicators are the core of determining whether the riding posture is safe, reasonable, and biomechanically sound. Their quality directly reflects the rationality of the current saddle height. When key indicators are excellent and located at the center of the corresponding preset static indicator theoretical value range, it indicates that the overall sitting posture is highly reasonable, stable, and safe. At this point, even slight deviations in non-key indicators are considered normal posture fluctuations and will not affect safety or health; therefore, the judgment range can be appropriately relaxed. When key indicators barely meet the standard and are at the critical position of the preset static indicator theoretical value range, it indicates that the overall sitting posture is in a weak state. At this point, no further deviations in non-key indicators are allowed, otherwise it will lead to posture imbalance, muscle compensation, and abnormal joint stress; therefore, the judgment range must be strictly tightened. Furthermore, to avoid ineffective fine-tuning caused by overly stringent judgments, the method provided in this application, when determining whether non-key indicators meet the standard based on the key indicator measurement value corresponding to the key indicator and the preset static indicator optimization range corresponding to the non-key indicator, may specifically include: Based on the measured values ​​of key indicators and the corresponding preset static indicator theoretical value ranges, the centrality of key indicators is determined; based on the centrality of key indicators, the anomaly judgment fluctuation value of non-key indicators is determined; based on the anomaly judgment fluctuation value, the preset static indicator theoretical value range corresponding to non-key indicators is updated to obtain the preset static indicator optimization range corresponding to non-key indicators; if the measured value of a non-key indicator does not fall within the corresponding preset static indicator optimization range, the non-key indicator is determined to be substandard.

[0049] Specifically, the midpoint of the preset static theoretical value range of key indicators is used as the optimal benchmark value. The deviation of the measured value of the key indicator from the midpoint value is calculated to quantify the centrality of the key indicator. The closer the measured value of the key indicator is to the midpoint value, the higher the centrality of the key indicator, indicating that the posture of the key indicator is more standard and stable. The farther the measured value of the key indicator is from the midpoint value, the lower the centrality of the key indicator, indicating that the key indicator is in a critical state of qualification and the tolerance margin of sitting posture is smaller. According to the preset floating mapping relationship between the centrality of the key indicator and each non-key indicator, the abnormal judgment floating value of each non-key indicator is determined. Since different non-key indicators have different sensitivities to changes in saddle height, different degrees of influence from the human body's autonomous posture fine-tuning, and different weights and constraint priorities in the overall sitting posture biomechanics, the preset floating mapping relationship corresponding to different non-key indicators is different. The preset floating mapping relationship is the correspondence between the centrality of the key indicator and the abnormal judgment floating value. The higher the centrality of the key indicator, the larger the corresponding abnormal judgment floating value. The specific content is not specifically limited in this embodiment of the application.

[0050] For any non-critical indicator, based on the obtained anomaly judgment fluctuation value, the original theoretical range of the non-critical indicator is adaptively corrected. When the anomaly judgment fluctuation value is positive, the original theoretical range is appropriately widened to both sides to broaden the reasonable range; when the anomaly judgment fluctuation value is negative, the original theoretical range is narrowed inward to compress the reasonable tolerance range. After the anomaly judgment fluctuation value correction and upper and lower limit updates, a new range adapted to the current overall sitting posture is obtained. This range is the preset static indicator optimization range corresponding to the non-critical indicator. Unlike the fixed original theoretical range, this optimization range is a personalized judgment range that is dynamically and adaptively adjusted according to the posture quality of the critical indicator. Based on the above method, the preset static indicator optimization range for each non-critical indicator can be obtained.

[0051] Each non-critical indicator measurement is compared with its corresponding preset static indicator optimization range. If the non-critical indicator measurement falls within the preset static indicator optimization range, the non-critical indicator is deemed to meet the standard, and the attitude fluctuation is within a reasonable allowable range. If the non-critical indicator measurement exceeds the preset static indicator optimization range, the non-critical indicator is deemed to fail to meet the standard. If any non-critical indicator is deemed to fail to meet the standard, the corresponding initial theoretical saddle height can be reversed to determine that it is an abnormal theoretical saddle height.

[0052] Step S140: If so, fine-tune the abnormal theoretical saddle height to obtain the corrected saddle height corresponding to each test height range.

[0053] Specifically, when an abnormal theoretical saddle height exists, it needs to be fine-tuned. When all static indicators fall within the corresponding range, the fine-tuning result is determined as the corrected saddle height for the test height range. Furthermore, to match the overall geometric control layout of the balance scooter, when fine-tuning the abnormal theoretical saddle height to obtain the corrected saddle height for the corresponding test height range, the specific adjustments may include: Obtain the adjustable saddle height range corresponding to the abnormal theoretical saddle height; obtain the static handlebar cross tube angle and static saddle spacing of the tested children's balance bike during the static testing phase; fine-tune the abnormal theoretical saddle height based on the adjustable saddle height range, static handlebar cross tube angle, and static saddle spacing to obtain the corrected saddle height corresponding to the test height range.

[0054] Specifically, since each test height interval corresponds to an initial theoretical saddle height, when verifying whether the initial theoretical saddle height corresponding to the current test height interval conforms to ergonomics and when fine-tuning and optimizing abnormal theoretical saddle heights, a dedicated adjustable saddle height range is defined for it. If an independent fine-tuning range is not defined for the current test height interval, and abnormal theoretical saddle heights are allowed to be freely fine-tuned without boundaries, it is very easy to cause the saddle height offset to be too large, resulting in height values ​​drifting across intervals. This will not only disrupt the calibration benchmark of the current test height interval, but also encroach on and interfere with the saddle height benchmarks corresponding to other adjacent test height intervals, destroying the regularity and independence of the gradient distribution between each test height interval, leading to chaos in the overall saddle height calibration standard of all test height intervals and losing the meaning of graded adaptation.

[0055] The adjustable saddle height range corresponding to the abnormal theoretical saddle height is generally 2-5mm. Specific values ​​are not specifically limited in this embodiment and can be set by relevant technical personnel according to actual needs. The test child balance bike is kept in a static calibration state, with the frame horizontally placed without offset or tilt, maintaining the original assembly state as during static testing, without altering the original installation positions of the handlebars and saddle. Using an electronic protractor or posture measuring device, with the horizontal reference plane of the bike body as a reference, the tilt angle of the handlebar cross tube relative to the horizontal direction is measured and recorded as the static handlebar cross tube angle. This parameter characterizes the inherent upper limb control geometric posture reference of the balance bike. Using the center support point of the saddle as the first reference point and the handlebar grip reference point as the second reference point, the straight-line distance or horizontal projection distance between the two points is measured using a distance measuring device and recorded as the static saddle distance. This parameter determines the forward extension range of the torso, the range of upper limb extension, and the overall center of gravity distribution when the child is riding, and is a parameter for the fixed ergonomic layout of the balance bike.

[0056] Within the adjustable saddle height range, using the static handlebar cross tube angle and static saddle spacing as dual geometric constraints, a small-scale iterative fine-tuning method is employed to make minor adjustments to the abnormal theoretical saddle height until all static indicators fall within the corresponding range. At this point, the fine-tuning result can be determined as the corrected saddle height for the test height range. Furthermore, to effectively avoid the problems of single fine-tuning failing to achieve the desired result and local adjustments disrupting the overall riding posture, the abnormal theoretical saddle height is fine-tuned based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing to obtain the corrected saddle height for the corresponding test height range. Specifically, this may include: Based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the abnormal theoretical saddle height is fine-tuned to obtain the fine-tuned saddle height corresponding to the measured height range. Static measurement data corresponding to the fine-tuned saddle height is obtained. If the static measurement data does not contain any non-compliant indicators, the fine-tuned saddle height is determined as the corrected saddle height corresponding to the test height range. If the static measurement data does not meet the standards, multiple combinations of static fine-tuning parameters are determined based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing. These combinations include the static fine-tuned saddle height, the static fine-tuned handlebar cross tube angle, and the static fine-tuned saddle spacing. Static measurement data for each static fine-tuning parameter combination is obtained. The static fine-tuned saddle height corresponding to the compliant static measurement data of the static fine-tuning combination is determined as the corrected saddle height corresponding to the test height range.

[0057] Specifically, the adjustable saddle height range corresponding to the current abnormal theoretical saddle height is retrieved. Using the abnormal theoretical saddle height as a benchmark, within the upper and lower limits of this range, only a small-scale iterative adjustment is made to the abnormal theoretical saddle height in a single dimension. The original static handlebar cross tube angle and static saddle spacing are not changed throughout the process; only the saddle height is changed. Within the adjustable range, the height value suitable for the posture is selected and recorded as the adjusted saddle height. The test child balance bike saddle is fixed to the above-mentioned adjusted saddle height, and the adjusted static measurement data is collected and analyzed. Based on the adjusted static measurement data, it is determined whether the adjusted saddle height is abnormal. That is, under the adjusted saddle height, it is determined whether the adjusted static measurement data contains abnormal indicators. The specific method for determining whether the adjusted static measurement data contains abnormal indicators can be referred to the specific implementation process of determining whether the static measurement data contains abnormal static indicators in the above embodiment, which will not be elaborated here. If no abnormal indicators are found in the static measurement data collected at any adjustable saddle height, it means that by simply adjusting the height of the saddle within the adjustable saddle height range, all the static indicators of the tested child can fall into the corresponding reasonable range. In this case, the adjustable saddle height can be directly determined as the corrected saddle height corresponding to the test height range.

[0058] If, within the adjustable saddle height range, after traversing all single-dimensional adjustments to the saddle height, all collected static measurement data show abnormal static indicators, it indicates that simply adjusting the saddle height while maintaining the original static handlebar angle and saddle distance is insufficient to ensure all static indicators of the tested child fall within the corresponding reasonable range. In this case, it is necessary to further combine the adjustable saddle height range, static handlebar angle, and static saddle distance to construct multiple sets of static adjustment parameter combinations and conduct comprehensive three-way adjustments. Adjusting the saddle height, static handlebar angle, and static saddle distance of the tested child's balance bike according to the static adjustment parameter combinations, collecting and analyzing the static measurement data of the adjustment combinations, and determining whether the static measurement data of the adjustment combinations contains abnormal indicators, if any static measurement data of any adjustment combination does not contain any substandard indicators (i.e., no abnormal static indicators are found in any static measurement data of any adjustment combination), then the adjusted saddle height in that static adjustment parameter combination can be determined as the corrected saddle height corresponding to the tested child's height range.

[0059] Based on the above steps, the corrected saddle height corresponding to each test height range can be obtained. It should be noted that not the initial theoretical saddle height of each test height range needs to be corrected. For ease of understanding, in this embodiment, the saddle height corresponding to all test height ranges in the current static correction stage is named the corrected saddle height. That is, the initial theoretical saddle height without fine-tuning and the standard saddle height obtained after fine-tuning are both referred to as the corrected saddle height in this embodiment.

[0060] Step S150: Obtain dynamic measurement data corresponding to each corrected saddle height, and determine multiple dynamic indicators and dynamic indicator measurement values ​​corresponding to each corrected saddle height after dynamic testing within the corresponding test height range based on each dynamic measurement data. The dynamic measurement data are the dynamic riding data of children with different test heights and genders on the saddle of the test children's balance bike with the corresponding corrected saddle height within the corresponding test height range.

[0061] Specifically, the dynamic measurement data consists of raw riding dynamic data collected during actual riding of children of different heights and genders within the corresponding test height range, after they ride the test children's balance bike and adjust it to the corresponding corrected saddle height. This is to verify the dynamic adaptability, riding stability, and dynamic ergonomic adaptation effect of the corrected saddle height corresponding to each test height range under real riding conditions, to verify whether the corrected saddle height obtained by static calibration can adapt to the riding force habits, joint movement patterns, and dynamic changes in the center of gravity of children of different heights and genders, and to identify the deviation between the static calibration results and the actual riding dynamic performance.

[0062] For any given corrected saddle height, the saddle height of the test children's balance bike is adjusted accordingly. Multiple children within the corresponding height range are then asked to ride the bike. The riding posture is broken down into four consecutive riding phases. Dynamic measurement data is obtained by recording the relevant angle and kinematic parameters of these four phases using motion capture equipment. This dynamic measurement data includes leg lift and power generation measurements, heel contact measurements, foot contact measurements, and leg pull-back measurements. The motion capture equipment can be the BTS series VICON system or an active optical high-resolution camera group with a sampling frequency of at least 100fps. The specific process for obtaining the dynamic measurement data corresponding to the corrected saddle height may include: Obtain the corrected test height range corresponding to the corrected saddle height. During dynamic cycling tests on children of different genders within the corrected height range, obtain the knee height angle, knee flexion, and EMG amplitude of each child during the leg lift and power accumulation phase to obtain leg lift and power accumulation measurement data.

[0063] Specifically, posture angle acquisition sensors can be placed at the knee and hip joints of the child's lower limbs, and surface electromyography (EMG) acquisition electrodes can be attached to the surface of the corresponding muscle groups in the lower limbs. Signal calibration and zero-point calibration are then performed, and the child is guided to ride a balance bike normally to simulate the real riding state of lifting the leg and storing power. Figure 3 As shown, Figure 3 This diagram illustrates a simulated leg-raising and power-building phase. When transitioning from a saddle-supported posture to the starting phase, one leg is excessively flexed at the knee, raising the leg forward with the thigh roughly parallel to the ground. The lower leg remains vertical or slightly tilted backward, approximately parallel to the body's longitudinal axis. During this phase, the gluteal muscles, the anterior thigh muscles, and the core muscles undergo isometric contractions, and the muscles are in a tense, power-building state. Through motion timing recognition, the starting and ending points of the leg-raising and power-building phase in each cycling cycle are accurately captured. Within the captured window of the leg-raising and power-building phase, the knee height angle, knee flexion angle, and EMG signals of the muscle groups are simultaneously collected and the EMG amplitude is calculated. Noise reduction and filtering are performed on the leg-raising and power-building phase parameters from multiple rides for each test child to obtain leg-raising and power-building measurement data.

[0064] During dynamic cycling tests on children of different genders within a corrected height range, the knee extension angle and tibialis anterior muscle EMG signal were obtained for each child at the heel-to-ground contact stage to obtain heel-to-ground contact measurement data.

[0065] Specifically, posture angle sensors can be placed at the knee joint of the child's lower limbs to collect the knee extension angle in real time; surface electromyography (EMG) electrodes can be attached to the corresponding positions on the anterior tibial muscle of the lower leg to complete impedance detection, signal noise reduction calibration, and initial zero-point calibration, ensuring accurate and reliable angle data and EMG signal acquisition. The child is then guided to ride a balance bike normally, simulating a real riding state with the heel touching the ground, such as... Figure 4 As shown, Figure 4 This diagram illustrates a simulated heel-to-ground contact state. After the leg lift and power accumulation, the hip flexion angle gradually extends, the knee joint straightens, and the thigh swings downwards while the lower leg swings forward rapidly. The heel touches the ground first at the lowest point of the swing, quickly absorbing the impact and storing elastic potential energy for subsequent power generation. The heel contact time is extremely short (approximately 0.1-0.2 seconds). In the later propulsion phase, the knee and ankle joints work together, adjusting the direction of force from primarily forward propulsion in the sagittal plane. Utilizing plantar pressure sensing or motion posture timing recognition, the diagram accurately pinpoints the action window during the cycling cycle, from the heel's descent from suspension to ground contact and weight-bearing. It identifies the start and end times of the heel-to-ground contact phase. Within this effective time window, the knee joint extension angle is simultaneously collected, characterizing the degree of knee extension and relaxation during this phase; EMG signals from the tibialis anterior muscle are also measured. Noise reduction and filtering preprocessing are performed on the heel-to-ground contact phase parameters from multiple cycling sessions for each test child to obtain heel-to-ground contact measurement data.

[0066] During dynamic cycling tests on children of different genders within the corrected height range, the hip extension angle, knee extension angle, quadriceps EMG signal, and gastrocnemius EMG signal of each child were obtained during the foot contact phase to obtain foot contact measurement data.

[0067] Specifically, inertial posture angle sensors can be placed on the corresponding body surface locations of the hip and knee joints of the child being tested to collect joint extension angles in real time. Surface electromyography (EMG) electrodes are attached to standard points on the body surface of the quadriceps and gastrocnemius muscles of the lower limbs, respectively. These are connected to an EMG acquisition device, and the device is powered on, impedance is detected, signal filtering is calibrated, and the initial posture is zeroed to ensure accurate joint angle acquisition and no significant interference or drift in the EMG signal. The child is guided to quickly transition to full-foot contact mode after completing the heel strike, such as... Figure 5 As shown, Figure 5This diagram illustrates a simulated foot contact state. By combining plantar pressure sensor signals and lower limb movement timing characteristics, it accurately captures the period during the cycling motion cycle when the entire foot smoothly contacts the ground, providing support and generating force. It identifies the start and end times of the foot contact phase and defines an effective data acquisition window. Within this window, four types of raw data are simultaneously and continuously collected: hip extension angle, knee extension angle, quadriceps EMG signal, and gastrocnemius EMG signal. Noise reduction and filtering are performed on the foot contact phase parameters from multiple cycling sessions for each test child to obtain the foot contact measurement data.

[0068] During dynamic cycling tests on children of different genders within the corrected height range, the hip extension angle, hamstring EMG signal, knee extension angle, and core muscle EMG signal of each child during the leg pull-back phase were obtained to obtain leg pull-back measurement data.

[0069] Specifically, inertial posture sensors can be placed at standard locations on the hip and knee joints of the child being tested to collect joint extension angles in real time. Surface electromyography (EMG) electrodes are attached to standard EMG points on the hamstrings of the lower limbs and the core muscles of the trunk and abdomen. These are then connected to an EMG acquisition device. The device is powered on, electrode impedance is detected, signal baseline is calibrated, and posture zero-point is calibrated. The raw signal is pre-filtered to remove noise, ensuring accurate joint angle acquisition and stable, interference-free EMG signals. After guiding the child to complete foot contact and pushing movements, such as... Figure 6 As shown, Figure 6 This diagram illustrates a simulated leg pull-back state. The hip joint rapidly transitions from maximum extension to flexion, with the thigh and pelvis generating a dynamic backward swing, pulling backward along the posterior sagittal axis, and the knee gradually extending or fully extending. This phase transforms and extends the forward thrust gained in the preceding push-off phase into a longer, sustained thrust output range. By combining lower limb movement trajectory, temporal changes in joint angles, and plantar pressure characteristics, the leg pull-back phase in the cycling motion cycle is accurately identified: that is, the period after a child completes single-leg push-off support, the limb retracts backward, smoothly transitioning to the next leg lift to build up momentum. The start and end times of this phase are locked, defining an effective data acquisition time window. Within the effective time window of the leg pull-back phase, four raw data points are simultaneously and continuously collected: hip joint extension angle, hamstring EMG signal, knee joint extension angle, and core abdominal muscle EMG signal. Noise reduction and filtering are performed on the leg pull-back phase parameters from multiple rides for each test child to obtain leg pull-back measurement data.

[0070] By integrating and collecting kinematic and electromyographic parameters across multiple stages and dimensions, a complete and detailed dynamic measurement data system is constructed. This system comprehensively reflects the postural characteristics and muscle stress state of children riding under corrected saddle height, providing refined data for subsequent dynamic index comparison, abnormal saddle height identification, and secondary fine-tuning. This ensures that saddle height calibration takes into account both static sitting posture adaptation and joint movement and muscle group compliance with ergonomic requirements throughout the entire dynamic riding process, significantly improving the professionalism, accuracy, and universality of saddle height calibration.

[0071] Based on the above steps, dynamic measurement data corresponding to each modified saddle height can be obtained. A preset feature recognition algorithm can then be used to identify dynamic indicators corresponding to different riding stages from the dynamic measurement data. The dynamic indicators corresponding to the leg lift and power-building stage are the knee height angle, knee flexion, and EMG amplitude; the dynamic indicators corresponding to the heel-to-ground stage are the knee extension angle and tibialis anterior muscle EMG amplitude; the dynamic indicators corresponding to the forefoot-to-ground stage are the hip extension angle, knee extension angle, quadriceps EMG amplitude, and gastrocnemius EMG amplitude; and the dynamic indicators corresponding to the leg-pull-back stage are the hip extension angle, hamstring EMG amplitude, knee extension angle, rectus abdominis EMG amplitude, and quadratus lumborum EMG amplitude. The measured values ​​of the dynamic indicators are the specific values ​​of the aforementioned angles or EMG amplitudes.

[0072] Step S160: Compare the measured value of each dynamic indicator with the corresponding preset theoretical value range of the dynamic indicator to determine whether there is an abnormal correction saddle height. The abnormal correction saddle height is the correction theoretical saddle height corresponding to the abnormal dynamic indicator measured value.

[0073] Specifically, different dynamic indicators correspond to different preset theoretical value ranges. These preset theoretical value ranges are standard and reasonable ranges that children should fall into under normal dynamic riding conditions, based on the ergonomics of children's cycling, lower limb biomechanics, the timing characteristics of cycling force application, and relevant safety ergonomic standards for children's balance bikes. When the measured value of a dynamic indicator falls within the corresponding preset theoretical value range, it indicates that the dynamic indicator is in the optimal dynamic ergonomic state, characterized by coordinated riding posture, reasonable joint flexion and extension range, moderate muscle force load, no overactivation, no motor compensation, no excessive impact load, and smooth riding rhythm. This indicates that the current adjustment of the saddle height enables children of different heights and genders to maintain natural limb movements, balanced joint force, reasonable muscle force application, and stable and comfortable riding throughout the complete riding cycle, including leg lifting and power accumulation, heel contact, foot contact, and leg pull-back. The method for determining the preset theoretical value ranges for each dynamic indicator can refer to the method for determining the preset theoretical value ranges for each static indicator in the above embodiment, and will not be elaborated here.

[0074] In this embodiment of the application, the preset theoretical value range of each dynamic indicator can be: During the leg raise and power-building phase: the theoretical range of the preset dynamic index for the knee height angle is 80°-100°; the theoretical range of the preset dynamic index for knee flexion is 110°-130°; and the theoretical range of the preset dynamic index for EMG amplitude is 40%-60% of the relative peak value. During heel strike phase: The theoretical range of the preset dynamic index corresponding to the knee extension angle is 130°-150°; the theoretical range of the preset dynamic index corresponding to the tibialis anterior muscle electromyographic amplitude is 50%-70% of the relative maximum voluntary contraction peak value. During the foot-on-ground phase: the theoretical range of the preset dynamic index for hip extension angle is 150°-170°; the theoretical range of the preset dynamic index for knee extension angle is 140°-145°; the theoretical range of the preset dynamic index for quadriceps electromyography amplitude is 60%-80% of the relative maximum voluntary contraction peak value; and the theoretical range of the preset dynamic index for gastrocnemius electromyography amplitude is 45%-65% of the relative maximum voluntary contraction peak value. During the leg posterior pull phase: the theoretical range of the preset dynamic index corresponding to the hip extension angle is 5°-15°; the theoretical range of the preset dynamic index corresponding to the hamstring electromyographic amplitude is 65%-85% of the relative maximum voluntary contraction peak; the theoretical range of the preset dynamic index corresponding to the knee extension angle is 150°-160°; the theoretical range of the preset dynamic index corresponding to the rectus abdominis electromyographic amplitude is 40%-60% of the resting baseline amplitude; and the theoretical range of the preset dynamic index corresponding to the quadratus lumborum electromyographic amplitude is 40%-60% higher than the resting baseline amplitude.

[0075] For any test child at the corresponding corrected saddle height, the dynamic index calculated is compared with the corresponding preset theoretical value range of the dynamic index. If the dynamic index measurement value exceeds the corresponding preset theoretical value range of the dynamic index, it indicates that there is an abnormal dynamic index. At this time, the corrected saddle height corresponding to the abnormal dynamic index can be determined as the abnormal corrected saddle height.

[0076] Step S170: If yes, then fine-tune the abnormal correction saddle height to obtain the target saddle height corresponding to each test height range.

[0077] Specifically, if there is an abnormal saddle height, the actual handlebar cross tube angle and actual saddle distance of the tested children's balance bike during the dynamic testing phase are obtained. Based on the adjustable saddle height range corresponding to the abnormal saddle height, the actual handlebar cross tube angle, and the actual saddle distance, multiple sets of dynamic fine-tuning parameter combinations are constructed for the abnormal saddle height. Then, a three-way linkage comprehensive fine-tuning is carried out again. The abnormal saddle height, actual handlebar cross tube angle, and actual saddle distance of the tested children's balance bike are adjusted according to the dynamic fine-tuning parameter combinations. Dynamic measurement data of the fine-tuning combinations are collected and analyzed. If any dynamic measurement data of any fine-tuning combination does not contain any unmet indicators, that is, if there are no abnormal dynamic indicators in any dynamic measurement data of any fine-tuning combination, then the fine-tuned saddle height in the dynamic fine-tuning parameter combination can be determined as the target saddle height corresponding to the test height range. The specific implementation process can be referred to the implementation process of correcting the saddle height obtained in the above embodiment, which will not be elaborated here.

[0078] The dynamic verification should be repeated at least 3-5 times independently, recording the dynamic measurement data of each child under different speeds and terrain conditions (flat ground, soft road surface, micro-buffered slope, etc.) to demonstrate that the selected saddle height setting parameters are always effective under daily riding conditions and competition conditions.

[0079] In this embodiment, height and sitting posture data of children of different ages and genders are first combined to divide height ranges and determine the initial theoretical saddle height, providing a quantitative basis for saddle height calibration. By collecting static sitting posture data of children at each initial theoretical saddle height, static index measurement values ​​are extracted and compared with preset theoretical ranges to accurately identify abnormal theoretical saddle heights and make fine adjustments to obtain corrected saddle heights. This facilitates optimization of sitting posture adaptability from a static ergonomic perspective, avoiding limb compensation problems caused by unreasonable sitting postures. Then, dynamic index measurement values ​​are extracted based on dynamic cycling data, and dynamic index compliance verification is carried out to screen for abnormal corrected saddle heights and make fine adjustments again. Finally, the target saddle height for each height range is determined. Through the dual-layer closed-loop correction mode of static sitting posture verification and dynamic cycling verification, both static body posture adaptation and dynamic cycling control needs are taken into account, making it easy to achieve accurate saddle height calibration for children of different ages, genders, and heights. This significantly improves the matching degree between saddle height and children's body size and cycling posture, effectively reducing the risk of musculoskeletal damage caused by poor cycling posture.

[0080] This embodiment provides a children's balance bike. This balance bike requires the saddle height marking determination method disclosed in the above embodiment to complete the preset standard saddle height and scale marking calibration at the factory. The children's balance bike mainly includes two core structures: an adjustable saddle stem and an ergonomic saddle. The adjustable saddle stem has multiple height scale markings arranged sequentially along the vertical axis of the stem. Each height scale marking corresponds to a target saddle height marking after matching and calibration for different test height ranges. Height positioning marks are engraved or pasted one by one according to the child's height segment. The target saddle height markings can use high-contrast etching or laser printing processes to ensure clear identification under different lighting conditions. Additionally, color differentiation can be used on the adjustable saddle stem (e.g., green areas indicate recommended areas, yellow areas indicate areas requiring attention), and the product manual lists the corresponding height range and recommended safe height values ​​for each target saddle height scale marking. This facilitates direct alignment and locking of the saddle installation height according to the child's height after leaving the factory, eliminating the need for repeated on-site adjustments.

[0081] The ergonomic saddle is designed to fit the physiological structure of a child's pelvis. The overall width of the saddle is adapted to the percentile range of ischial width distribution among children of different ages in China, accommodating the ischial support span of the vast majority of children of appropriate age. At the same time, the front of the saddle adopts a smooth, rounded, and narrowed structure, reducing the lateral width of the front of the saddle. During the process of lifting the legs, pushing off the ground, and pulling the legs back, it can effectively reduce the compression and friction between the edge of the saddle and the skin and soft tissue of the inner thigh, avoiding discomfort such as chafing and chafing during long-term riding. It balances the stability of static sitting posture support with the freedom of movement of the limbs during dynamic riding.

[0082] This embodiment provides a method for adjusting the saddle height of a children's balance bike, which is executed by electronic equipment. This adjustment method relies on the adjustable saddle stem and ergonomic saddle of the children's balance bike to achieve rapid and precise adjustment of the saddle height, adapting to the riding needs of children of different heights. The specific implementation steps are as follows: The guardian can use a standard height measuring tool (such as a height ruler) to measure the vertical distance from the child's feet to the top of their head while the child is standing with their feet together and torso straight. This measurement is recorded as the child's actual height, and then uploaded to an electronic device via a terminal device. By comparing the height ranges matched with the target saddle height markings on the balance bike, the target saddle height for the child is determined. This target saddle height is then fed back to the guardian's terminal device to remind them to adjust the balance bike's saddle height to the target height.

[0083] Furthermore, the adjustment method provided in this application embodiment also includes: The system retrieves historical adjustment records and determines the rate of height change for the child to be ridden based on these records. It then determines whether the child is in a rapid growth phase based on the rate of height change. If so, it generates an adjustment update prompt to remind parents to regularly adjust the saddle height of the balance bike to ensure that the saddle height always matches the child's current body size proportions. If not, it generates fine-tuning suggestions based on the rate of height change.

[0084] Specifically, the historical adjustment records should include at least the time of each historical adjustment, the actual height of the child at the time of the historical adjustment, the height range matched this time, the corresponding target saddle height, and the adjustment gear scale value. All time-series historical adjustment records of the bound child should be retrieved, sorted in chronological order from oldest to newest, invalid duplicate records and temporary adjustment records due to erroneous operations should be removed, and multiple sets of height-time corresponding data that have officially taken effect should be retained to form a continuous and usable time-series dataset.

[0085] From the time-series historical adjustment records, the time interval and height difference between two adjacent formal adjustments are extracted. The difference calculation method is used to solve the height growth rate per unit time. The stage growth rate of multiple sets of continuous historical records is smoothed and the mean is fitted to eliminate the random deviation caused by single measurement error and seasonal growth fluctuations. The stable height change rate of the child to be ridden is obtained at the current stage.

[0086] If the rate of change in height exceeds the preset rapid growth rate threshold, the child to be ridden is determined to be in a rapid growth phase. At this time, a standardized saddle height adjustment and update prompt should be generated. The prompt should include, but is not limited to, the current age, recent height growth rate, the child has entered a rapid growth period, and a suggestion to regularly remeasure the child's height and rematch the saddle height setting.

[0087] If the rate of height change is not greater than the preset rapid growth rate threshold, it is determined that the child to be ridden has not entered the rapid growth stage. Under the condition that the rate of height change is slow and stable, it is predicted that the height of the child to be ridden will not cross the adjacent height range in the short term. At this time, a fine-tuning suggestion can be generated. The fine-tuning suggestion includes, but is not limited to: suggesting that the existing target saddle height mark remain unchanged without significant adjustment, or suggesting that within the fine-tuning range corresponding to the original target saddle height, the saddle scale level be slightly increased to make a gradual fine-tuning.

[0088] By generating adjustment update prompts or fine-tuning suggestions, the saddle height can always be matched with the child's real-time body size, ensuring long-term riding comfort and ergonomic fit.

[0089] This application provides an electronic device, such as... Figure 7 As shown, Figure 7The illustrated electronic device 700 includes a processor 701 and a memory 703. The processor 701 and the memory 703 are connected, for example, via a bus 702. Optionally, the electronic device 700 may also include a transceiver 704. It should be noted that in practical applications, the transceiver 704 is not limited to one type, and the structure of this electronic device 700 does not constitute a limitation on the embodiments of this application.

[0090] Processor 701 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It can implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. Processor 701 may also be a combination that implements computational functions, such as including one or more microprocessor combinations, a combination of a DSP and a microprocessor, etc.

[0091] Bus 702 may include a pathway for transmitting information between the aforementioned components. Bus 702 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus, etc. Bus 702 can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 7 The symbol is represented by only one line, but this does not mean that there is only one bus or one type of bus.

[0092] The memory 703 may be a ROM (Read Only Memory) or other type of static storage device capable of storing static information and instructions, RAM (Random Access Memory) or other type of dynamic storage device capable of storing information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), CD-ROM (Compact Disc Read Only Memory) or other optical disc storage, optical disc storage (including compressed optical discs, laser discs, optical discs, digital universal optical discs, Blu-ray discs, etc.), magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing desired program code in the form of instructions or data structures and accessible by a computer, but not limited thereto.

[0093] The memory 703 is used to store application code that executes the solution of this application, and its execution is controlled by the processor 701. The processor 701 is used to execute the application code stored in the memory 703 to implement the content shown in the foregoing method embodiments.

[0094] Electronic devices include, but are not limited to: mobile terminals such as mobile phones, laptops, digital radio receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (such as in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers can also be included. Figure 7 The electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.

[0095] This application provides a computer-readable storage medium storing a computer program that, when run on a computer, enables the computer to execute the corresponding content in the aforementioned method embodiments.

[0096] This application provides a computer program product including a computer program that, when executed by a processor, implements the methods described in any of the above embodiments.

[0097] It should be understood that although the steps in the flowcharts of the accompanying figures are shown sequentially as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the flowcharts of the accompanying figures may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be performed alternately or in turn with other steps or at least some of the sub-steps or stages of other steps.

[0098] The above description is only a partial embodiment of this application. It should be noted that for those skilled in the art, several improvements and modifications can be made without departing from the principle of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A method for determining saddle height marking, characterized in that, include: Acquire test data of children's balance bikes and determine the initial theoretical saddle height corresponding to each test height range based on the test data. The test data includes height data and sitting posture size data of children of different ages and genders. Obtain static measurement data corresponding to each initial theoretical saddle height, and determine multiple static indicators and static indicator measurement values ​​corresponding to each initial theoretical saddle height after static testing in the corresponding test height range based on each static measurement data. The static measurement data is the static sitting posture data of each child with different test height and different gender in the corresponding test height range on the saddle of the test children's balance bike at the corresponding initial theoretical saddle height. The static index measurement value of each static index is compared with the corresponding preset static index theoretical value range to determine whether there is an abnormal theoretical saddle height. The abnormal theoretical saddle height is the initial theoretical saddle height corresponding to the abnormal static index measurement value. If so, the abnormal theoretical saddle height is fine-tuned to obtain the corrected saddle height corresponding to each test height range; Acquire dynamic measurement data corresponding to each corrected saddle height, and determine multiple dynamic indicators and dynamic indicator measurement values ​​corresponding to each corrected saddle height after dynamic testing in the corresponding test height range based on each dynamic measurement data. The dynamic measurement data is the dynamic riding data of each child with different test height and different gender in the corresponding test height range on the saddle of the test children's balance bike with the corresponding corrected saddle height. The measured value of each dynamic indicator is compared with the corresponding preset theoretical value range of the dynamic indicator to determine whether there is an abnormal correction saddle height. The abnormal correction saddle height is the correction theoretical saddle height corresponding to the abnormal dynamic indicator measurement value. If so, the abnormal correction saddle height is fine-tuned to obtain the target saddle height corresponding to each test height range.

2. The method for determining saddle height marking according to claim 1, characterized in that, The measured values ​​of static indicators are compared with the corresponding preset theoretical value range of static indicators to determine whether there are any abnormal theoretical saddle heights, including: Key indicators are identified from the static indicators. The measured values ​​of the key indicators are compared with the corresponding preset theoretical value range of the static indicators to determine whether the key indicators meet the standards. If not, it is determined that there is an abnormal theoretical saddle height. If so, based on the measured value of the key indicator corresponding to the key indicator and the preset static indicator optimization range corresponding to each non-key indicator, it is determined whether each non-key indicator meets the standard. If there is a non-key indicator that does not meet the standard, it is determined that there is an abnormal theoretical saddle height. The non-key indicators are other indicators in the static indicators besides the key indicators.

3. The method for determining saddle height marking according to claim 2, characterized in that, Based on the measured values ​​of the key indicators corresponding to the key indicators and the preset static indicator optimization ranges corresponding to the non-key indicators, it is determined whether the non-key indicators meet the standards, including: Based on the measured values ​​of the key indicators and the corresponding preset static indicator theoretical value ranges, the centering degree of the key indicators is determined. The anomaly detection fluctuation value of the non-key indicators is determined based on the centering degree of the key indicators; Based on the anomaly detection floating value, update the preset static indicator theoretical value range corresponding to the non-key indicator to obtain the preset static indicator optimization range corresponding to the non-key indicator. If the measured value of the non-key indicator does not fall within the corresponding preset static indicator optimization range, then the non-key indicator is determined to be substandard.

4. The method for determining saddle height marking according to claim 1, characterized in that, The abnormal theoretical saddle height is fine-tuned to obtain the corrected saddle height corresponding to the test height range, including: Obtain the adjustable saddle height range corresponding to the abnormal theoretical saddle height; Obtain the static handlebar cross tube angle and static saddle distance of the tested children's balance bike during the static testing phase; Based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing, the abnormal theoretical saddle height is finely adjusted to obtain the corrected saddle height corresponding to the test height range.

5. The method for determining saddle height marking according to claim 4, characterized in that, The process of fine-tuning the abnormal theoretical saddle height based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle, and the static saddle spacing to obtain the corrected saddle height corresponding to the test height range includes: Based on the adjustable saddle height range corresponding to the abnormal theoretical saddle height, the abnormal theoretical saddle height is finely adjusted to obtain the finely adjusted saddle height corresponding to the measured height range. Obtain the fine-tuning static measurement data corresponding to the fine-tuning saddle height. If the fine-tuning static measurement data does not contain any unmet indicators, then the fine-tuning saddle height is determined as the corrected saddle height corresponding to the test height range. If the fine-tuning static measurement data does not meet the standard, then based on the fine-tunable saddle height range corresponding to the abnormal theoretical saddle height, the static handlebar cross tube angle and the static saddle spacing, multiple static fine-tuning parameter combinations are determined. The static fine-tuning parameter combinations include static fine-tuning saddle height, static fine-tuning handlebar cross tube angle and static fine-tuning saddle spacing. Obtain the static measurement data of each static fine-tuning parameter combination, and determine the static fine-tuning saddle height in the static fine-tuning parameter combination corresponding to the qualified static measurement data of the fine-tuning combination as the corrected saddle height corresponding to the test height range.

6. The method for determining saddle height marking according to claim 1, characterized in that, The dynamic measurement data includes: Data on leg raise and power generation, heel touchdown, sole touchdown, and leg pull-back.

7. The method for determining saddle height marking according to claim 6, characterized in that, Obtain dynamic measurement data corresponding to the corrected saddle height, including: Obtain the corrected test height range corresponding to the corrected saddle height; During the dynamic cycling test of children of different genders within the corrected height range, the knee height angle, knee flexion and EMG amplitude of each child during the leg lift power accumulation phase were obtained to obtain the leg lift power accumulation measurement data. During the dynamic cycling test of children of different genders within the corrected height range, the knee extension angle and tibialis anterior muscle EMG signal of each child at the heel-to-ground contact stage were obtained to obtain the heel-to-ground contact measurement data. During the dynamic cycling test of children of different genders within the corrected height range, the hip extension angle, knee extension angle, quadriceps EMG signal and gastrocnemius EMG signal of each child at the foot contact stage were obtained to obtain the foot contact measurement data. During dynamic cycling tests on children of different genders within the corrected height range, the hip extension angle, hamstring EMG signal, knee extension angle, and core muscle EMG signal of each child during the leg pull-back phase were acquired to obtain the leg pull-back measurement data.

8. A children's balance bike, characterized in that, The child balance bike is a child balance bike with a factory-marked saddle height based on the saddle height marking determination method according to any one of claims 1-7, comprising: The adjustable saddle riser is equipped with target saddle height markings for different height ranges. The ergonomic saddle is designed to fit the percentile range of ischial width distribution in children of different ages, and features a narrowed front end to reduce friction on the inner thighs.

9. An adjustment method, characterized in that, The adjustment method, applied to the children's balance bike of claim 8, includes: Obtain the actual height of the child to be ridden; Select the actual height range corresponding to the actual height from the adjustable saddle riser, and adjust the saddle height of the child balance bike based on the target saddle height corresponding to the actual height range.

10. The adjustment method according to claim 9, characterized in that, Also includes: Obtain historical adjustment records and determine the rate of change of the child's height based on the historical adjustment records; Based on the rate of height change, determine whether the child to be ridden is in a rapid growth phase; If so, an adjustment update prompt will be generated to remind parents to regularly adjust the saddle height of the children's balance bike to ensure that the saddle height always fits the current body size proportion; If not, then a fine-tuning suggestion is generated based on the stated rate of height change.

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