24 results about "Walking velocity" patented technology

The variable-stiffness self-adaptive toe joint comprises a sole plate and toes located on the front side of the sole plate, the bottom of the sole plate and the bottoms of the toes are located on the same horizontal plane, one side of each toe is installed on the sole plate through a titanium steel plate spring, a pressing wheel is arranged above the titanium steel plate spring, and the other side of each toe is installed on the sole plate. The variable stiffness of the titanium steel plate spring can be adjusted by adjusting the position of the pressing wheel above the titanium steel plate spring. One side of the toe is connected with the sole plate through the titanium steel plate spring, the pressing wheel is located above the titanium steel plate spring and can press the titanium steel plate spring, and the driving mechanism can drive the pressing wheel to move along the titanium steel plate spring; the bending radius when the toes are stressed is changed through different contact positions of the pressing wheels and the titanium steel plate springs on the toes, variable-rigidity self-adaptive movement of the toes in the movement process is achieved, and the walking speed, the stride height and stride of the robot in the walking process and the walking stability of the robot are improved.

A wearable walking assist and / or exercise device may detect a start of exercise of the user, select LED lamps to be blinked from the plurality of LED lamps included in the lighting module based on an exercise intensity of the wearable device, determine a blinking period of the selected LED lamps based on a walking speed of the user, and blink the selected LED lamps for the determined blinking period.

The utility model discloses an auxiliary tool for measuring walking speed, which comprises a main body unit and a storage unit, the main body unit comprises a main flexible rule, a plurality of auxiliary flexible rules are fixed on one side of the main flexible rule at equal intervals, the auxiliary flexible rules are perpendicular to the main flexible rule, the storage unit comprises two bandages, the two bandages are fixed on one of the auxiliary flexible rules, and the two bandages are perpendicular to the main flexible rule. A son buckle is fixed to the front face of one end of the bandage, a mother buckle is fixed to the back face of the other end of the bandage, and the son buckle can be buckled with the mother buckle. Through the arrangement of the auxiliary flexible rule, the patient walks along the middle of the auxiliary flexible rule when starting to walk, and the gait deviation condition of the patient during walking can be analyzed by observing the positions of the patient passing through different auxiliary flexible rules during walking; the main flexible rule is folded one by one along the groove, so that the auxiliary flexible rules are overlapped together, then the binding band wraps the outer sides of the folded auxiliary flexible rules, the son buckle and the mother buckle are buckled, and then the tool can be carried by lifting the handle band with a hand, so that the tool is convenient to carry.

An object of a system according to an embodiment is to improve a user's walking experience by automatically generating music according to a walking speed.SOLUTION: A system includes a step counting part, a BPM determination part, a musical piece generation part, and a tempo adjustment part. The step counting unit measures a walking speed using a step counting function of the smartphone. The BPM determining unit determines the BPM based on the data measured by the step counting unit. The music generation unit generates music on the basis of the BPM determined by the BPM determination unit. The tempo adjusting unit increases or decreases the BPM according to the user's desire.SELECTED DRAWING: Figure 1

Embodiments of footwear, in particular, a shoe, sandal or boot, that have the unexpected benefit of reducing the pressure on the plantar surface of the foot while also reducing metabolic demand of walking while also gait speed and improving walking, running, hiking, as well as jumping, hopping, and other motion involving the ankle, lower leg and Achilles tendon, through integration of force-carrying mechanisms within footwear that manage the forces and energy associated with such motion by productively harvesting and storing energy during dorsiflexion motion and releasing and returning energy during plantar flexion and limiting range of motion that conduce towards ankle inversion and eversion. Such footwear may comprise a yoke connected to footwear at a pivot region in parallel to the axis of rotation of the ankle and a tension spring region suspended between the yoke and the posterior portion of the footwear sidewalls or sole.

The application provides a robot testing method and testing equipment, which can save testing cost. The testing method comprises the following steps: when the first sensor and the second sensor both sense the robot, the conveyor belt is controlled to start and gradually accelerate, wherein, during the gradual acceleration, when the second sensor and the third sensor both do not sense the robot, the conveyor belt is controlled to accelerate to a standard speed and run in a direction opposite to the walking direction of the robot; within the first set time of the running of the conveyor belt at the standard speed, if the second sensor and the third sensor both do not sense the robot, it is determined that the walking speed test of the robot is qualified, if the second sensor senses the robot, it is determined that the rated walking speed of the robot is slower, and if the third sensor senses the robot, it is determined that the rated walking speed of the robot is faster.

The invention belongs to the technical field of intelligent lighting control, and relates to a traveling speed self-adaptive non-inductive dimming method and system based on multi-sensor fusion, the method comprises the steps that a lighting node detects a target, judges the target condition and the walking speed of the target and outputs different dimming control instructions, and the system comprises a sensor layer, a communication layer and a control layer. Through complementary detection of the infrared sensor and the millimeter-wave radar sensor, the misjudgment problem of a single sensor (for example, radar penetrates through clothes to interfere, and infrared rays are blocked and fail) is solved; the self-adaptive dynamic illumination control aiming at the advancing speeds of different crowds gives consideration to energy-saving and non-inductive experience; the BLE Mesh network is adopted, each lighting node is independently arranged and communicates with each other, and the situation that dynamic dimming of lighting cannot be met in time due to the fact that a certain lighting node breaks down is avoided.

The invention provides a robot testing method and testing equipment thereof, which can save the testing cost. The testing method comprises the steps that under the condition that both the first sensor and the second sensor sense the robot, the conveyor belt is controlled to be started and gradually accelerated, and in the gradual acceleration process, when both the second sensor and the third sensor do not sense the robot, the conveyor belt is controlled to be started and gradually accelerated; the conveying belt is controlled to accelerate to the standard speed to run, and the running direction of the conveying belt is opposite to the walking direction of the robot; within the first set time when the conveyor belt runs at the standard speed, if neither the second sensor nor the third sensor senses the robot, it is judged that the walking speed of the robot is tested to be qualified, and if the second sensor senses the robot, it is judged that the rated walking speed of the robot is low; if the third sensor senses the robot, it is judged that the rated walking speed of the robot is high.

The invention provides an auxiliary robot control method and system for improving the walking function of lower limbs after stroke, and relates to the field of health data processing, and the system comprises a data collection module which is used for collecting multi-modal test data of a patient, comprising key head cortex point location test data, bilateral joint coordination test data and walking balance obstacle test data; the function analysis module is used for determining lower limb dysfunction characteristics of the patient according to the multi-modal test data of the patient; the data acquisition module is also used for acquiring lower limb characteristics of the patient; the decision making module is used for determining walking function rehabilitation training parameters including training frequency, period duration, walking speed and gait tracks according to the lower limb dysfunction characteristics of the patient, the lower limb characteristics and the sample database; the training control module is used for controlling the auxiliary robot to assist the patient in lower limb walking function training according to the walking function rehabilitation training parameters, and the advantage of improving the lower limb walking function rehabilitation training effect after stroke is achieved.

To provide a walking estimation device and a walking estimation program capable of estimating a walking mode of a pedestrian and calculating an index value highly correlated with a walking speed.SOLUTION: The walking estimation device 1 includes the acceleration sensor 80 that detects acceleration when the pedestrian 100 walks, the peak detection unit 13 that detects a peak based on waveform information of the acceleration obtained by the acceleration sensor 80, and the index value calculation unit 16 that calculates an index value indicating a walking mode of the pedestrian 100 based on waveform information in which a value of the acceleration is equal to or less than a predetermined acceleration between peaks obtained by the peak detection unit 13.SELECTED DRAWING: Figure 3

The present application belongs to the technical field of data processing and computer application, and particularly relates to a business leisure space staying time length and walking speed estimation method based on a zero-inflated Gamma model. Sparse positioning data is used to obtain the total activity time length of tourists in a business leisure space set, estimate the sub-space sequence passed by the tourists, estimate the probability distribution of the staying time length of the tourists in each sub-space, and estimate the probability distribution of the walking speed of the pedestrians using a zero-inflated Gamma model. The method uses relatively easily obtained sparse positioning data, and the staying time length result can be used as an evaluation index of the attraction of the business leisure space, and the walking speed result can be used as a basis for the design and construction of the walking environment, thereby supporting business leisure space planning, design, operation, management and the like. The method is suitable for business street blocks, comprehensive shopping malls, parks, amusement parks, scenic spots and the like, and can be used as a module or algorithm in space utilization monitoring and evaluation work, and is feasible.

The system uses a probabilistic approach to extract cadence and walking speed from sensor data. This approach prevents the possibility of missing step events in the acceleration signal due to direct source collection or signal enhancement.

The present invention provides a walking speed calculation device and a walking speed calculation system for appropriately and easily calculating a person's walking speed. [Solution] A walking speed calculation device 10 according to one embodiment of the present invention includes: an acquisition unit 21 that acquires location information indicating the position of the subject at each point in time during the period in which the subject is within the detection area of ​​the sensor 16; a selection unit 22 that identifies the relationship between the position of the subject at the start and end of walking and the detection area based on the location information, and selects specific location information indicating the position of the subject at each point in time during the target period within the area from the location information according to this relationship; and a calculation unit 23 that calculates the walking speed of the subject during the target period based on the specific location information.

The walking speed scale receiving section (111) receives a walking speed scale input as a scale indicating the walking speed of a user. The walking time acquiring section (120) acquires walking time information indicating the length of time of walking by the user as a walking time. The thermal sensation estimating section (130) estimates the thermal sensation after walking by the user based on the received walking speed scale and the acquired walking time information as utilization information.

To realize a movement support device capable of providing movement support at an appropriate timing in accordance with a user's travel speed.SOLUTION: A movement support device 1 is worn on at least one of the user's shoulders or neck, and comprises: an imaging unit 20 that images an area in front of the user; an object detection unit 40a that detects an object in the image on the basis of the image captured by the imaging unit 20; and a walking speed calculation unit 40b that calculates the user's walking speed on the basis of a guidance block 30a in the objects detected by the object detection unit 40a, and a predetermined stationary object (for example, a utility pole 31). The walking speed calculation unit 40b calculates the user's walking speed on the basis of a rate of change per unit time in the number of guidance blocks 30a that are located closer to the user than the predetermined stationary object (utility pole 31) serving as a reference in an image 21.SELECTED DRAWING: Figure 4

Disclosed herein is a frailty diagnosis apparatus. The frailty diagnosis apparatus includes a physical performance meter and a processor for determining a frailty index of a target person based on physical performance of the target person obtained by the physical performance meter. The physical performance meter includes at least one among a gait speed meter for measuring a gait speed of the target person, a body balance meter for measuring a body balance maintenance time of the target person, and a muscle strength meter for measuring a muscle exercise time.

A micromobility electric vehicle with a controller that operates the vehicle in a walk-assist mode, expanding the population of users that can comfortably use the vehicle. In walk-assist mode, the speed of the vehicle may be limited to a walking speed, regardless of the position of a throttle. In contrast, in a riding mode, the maximum speed may be higher. The walk-assist mode may be entered or exited based on output of one or more sensors, indicating that the user is or is not riding the vehicle or that a user is or is not pushing the vehicle. Such sensors may be positioned in a seat, in a floorboard or on the handlebars of the vehicle. Alternatively or additionally, the sensor may be associated with a control, such as a tab configured to be pressed by a user's thumb when the user is pushing the vehicle.

The method comprises the following steps: firstly, acquiring a continuous walking video stream of a target object in a preset assessment site, and preprocessing the video stream to accurately extract motion data of the target object; secondly, deeply analyzing the motion data by using a gait recognition algorithm to obtain core gait features including a step length sequence and a gait cycle sequence; accurately calculating the target walking speed of the target object based on the step length sequence and the gait cycle sequence, and generating an evaluation result reflecting the walking ability of the target object according to the target walking speed; and finally, the evaluation result is applied to health condition evaluation and fall risk prediction of the target object. According to the invention, no equipment needs to be worn, and non-contact monitoring can be completed only by a common camera, so that the use threshold is reduced, the discomfort caused by wearing the equipment is avoided, and the convenience and accessibility of daily health monitoring are remarkably improved.

The invention belongs to the technical field of data processing and computer application, and particularly relates to a commercial leisure space staying duration and walking speed estimation method based on a zero-expansion Gamma model. The method comprises the following steps: acquiring the total activity duration of tourists in a commercial leisure space set by using sparse positioning data, estimating a subspace sequence through which the tourists pass, and estimating the probability distribution of the residence duration of the tourists in each subspace and the probability distribution of the walking speed of the pedestrians by using a zero-expansion Gamma model. According to the method, sparse positioning data which are relatively easy to obtain are utilized, a stay duration result can be used as an evaluation index of the attraction of the commercial leisure space, a walking speed result can be used as a basis for design and construction of a walking environment, and works such as planning, design, operation and management of the commercial leisure space are supported. The method is suitable for commercial leisure spaces such as commercial street areas, comprehensive shopping malls, parks, amusement parks and scenic spots, can be used as a module or algorithm in space utilization monitoring and evaluation work, and is good in feasibility.

This wearable device may provide a resistance torque to a user in a first resistance section of an exercise program (a first resistance strength level related to the strength of the resistance torque, a first target speed, and a first target time are set in the first resistance section), determine a first walking speed of the user in the first resistance section, and, when the first walking speed is outside the first target speed range, perform at least one of an operation of determining the resistance strength level of a second resistance section of the exercise program by adjusting the first resistance strength level, an operation of determining the target speed of the second resistance section by adjusting the first target speed, or an operation of determining the target time of the second resistance section by adjusting the first target time.

The walking speed scale receiving unit (111) receives a walking speed scale input as a scale representing the user's walking speed. The walking time acquiring unit (120) acquires walking time information indicating the length of time the user has been walking as walking time. The thermal sensation estimating unit (130) converts the received walking speed scale and the acquired walking time information into usage information and estimates the user's thermal sensation after walking based on the usage information.

This information processing method, which is executed by a computer, includes: acquiring a reflected sound which is picked up by a sound reception unit (12) and which is generated by a sound output from a sound generation unit (11) hitting a subject and being reflected of the same; calculating the walking speed of the subject on the basis of the acquired reflected sound; and outputting first information that, if the amount of change in the calculated walking speed is at least a predetermined value, indicates that the amount of change is at least a predetermined value.

The present disclosure relates to systems and methods adapted to improve gait tracking of individuals with atypical or abnormal walking modes by fusing co-located activity monitoring devices. As described herein, hospital staffs and patients may be equipped with activity monitoring devices that are used by systems and methods to detect proximity of such devices and then update parameters for tracking the gait of the patient. For example, upon detecting that two or more devices are within a near proximity (e.g., a nurse walking with a patient), the estimates of the two devices may be compared. The estimates of both may then be updated by adjusting model parameters, e.g., by assigning a mass weight to both estimates, thereby adjusting to achieve an average velocity, or by a weighted adjustment based on a reliability parameter that indicates the reliability of the individual estimates.

According to one embodiment, a walking speed estimation method is provided that includes the steps of determining N subjects to be measured for walking speed measurement and acquiring physical data of the subjects, conducting a clinical evaluation on the subjects, conducting a gait evaluation on the subjects to acquire measured gait data, and developing a walking speed estimation model having a plurality of walking parameters based on the measured gait data, wherein the walking speed estimation model includes, as walking parameters, a roll angle, a yaw angle, and body weight measured using an accelerometer worn at the center of gravity of the body of the subjects.