Light environment and posture detection method, device and system based on wearable device

Abstract

The present disclosure relates to a light environment and posture detection method, device, system and storage medium based on a wearable device, the method comprising: receiving illumination data of ambient light collected by a wearable device and motion data of a target object wearing the wearable device, the wearable device being worn near the eyes of the target object; determining the posture angle of the target object's head according to the motion data; detecting the posture and / or the light environment of the target object according to the posture angle and / or the illumination data to obtain a detection result. The present disclosure can realize the perception of healthy light environment in long-term and multi-location through wearable devices, and can simultaneously detect and prompt the health effects of light from the perspectives of biorhythm and vision health.

Description

Technical Field

[0001] The present disclosure relates to the field of light environment and posture detection, and in particular to a light environment and posture detection method, device, and system based on a wearable device. Background Art

[0002] Eyes are windows to the soul, and the information they receive affects human emotions and even health. More than 70% of the information people get in a day comes from light. In addition to providing vision, light is also an important timekeeping factor for the human body's biological clock, affecting people's circadian rhythm and working status. The impact of light on vision and biological clock is closely related to the illumination and spectral distribution at the human eye. For example, too strong light can damage the retina, and too weak light can easily cause visual fatigue; the light environment in the blue light band is conducive to improving daytime vitality, but exposure to blue light at night can induce sleep disorders.

[0003] How to timely identify these triggers that affect human health, biological rhythms, etc. and provide prompts in daily life is a key issue to be resolved. Summary of the invention

[0004] In view of this, the present disclosure proposes a light environment and posture detection method, device, system and storage medium based on a wearable device.

[0005] According to one aspect of the present disclosure, a method for detecting a light environment and a posture is provided, comprising:

[0006] Receiving illumination data of ambient light collected by a wearable device and motion data of a target object wearing the wearable device, wherein the wearable device is worn near eyes of the target object;

[0007] determining a posture angle of the target object's head based on the motion data;

[0008] The posture of the target object and / or the light environment in which it is located are detected according to the posture angle and / or the illumination data to obtain a detection result.

[0009] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result includes:

[0010] determining spectral information according to the illumination data;

[0011] It is determined according to the spectral information whether the main light source of the light environment is natural light illumination or artificial lighting.

[0012] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result includes:

[0013] determining illumination according to the illumination data;

[0014] When the illumination exceeds a first threshold, first prompt information is generated, wherein the first prompt information indicates that the illumination is too high or an illumination adjustment method.

[0015] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result includes:

[0016] According to the posture angle, it is determined that the posture of the target object is computer office or paper office, and according to the posture angle, it is determined whether the target object has a bad sitting posture.

[0017] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result includes:

[0018] determining a color temperature according to the illumination data;

[0019] When it is determined that the target object is in a computer office posture and the color temperature exceeds a second threshold, a second prompt message is generated, wherein the second prompt message indicates that the color temperature is too high or a color temperature adjustment method.

[0020] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result includes:

[0021] Determine the target time period to which the current time belongs;

[0022] Determine the physiological equivalent illuminance based on the illumination data;

[0023] When the physiological equivalent illumination does not meet the preset condition corresponding to the target time period, a third prompt information is generated, and the third prompt information indicates that the physiological equivalent illumination is abnormal or a physiological equivalent illumination adjustment method.

[0024] In a possible implementation, detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result further includes:

[0025] When it is determined that the posture of the target object is an improper sitting posture, fourth prompt information is generated, and the fourth prompt information indicates an improper sitting posture or a sitting posture adjustment method.

[0026] In a possible implementation, the method further includes:

[0027] storing the illumination data, motion data and detection results;

[0028] Determine statistical information for light environment and posture detection based on detection results within a preset time period;

[0029] The fifth prompt information is generated according to the statistical information.

[0030] In a possible implementation, the statistical information includes:

[0031] The duration of natural light; and / or

[0032] The proportion of the time for achieving the target for any one or more of the illuminance, color temperature, physiological equivalent illuminance and the posture of the target object to the preset time period.

[0033] In a possible implementation manner, generating fifth prompt information according to the statistical information includes:

[0034] When the natural light illumination time is insufficient, the fifth prompt information indicates to receive more sufficient natural light;

[0035] When the illuminance and / or the target object's posture compliance rate is low, the fifth prompt information indicates that there is a risk of myopia;

[0036] When the physiological equivalent illumination compliance rate is low, the fifth prompt information indicates that there is a physiological rhythm health risk.

[0037] According to another aspect of the present disclosure, a light environment and posture detection device based on a wearable device is proposed, comprising:

[0038] processor;

[0039] a memory for storing processor-executable instructions;

[0040] The processor is configured to implement the above method when executing the instructions stored in the memory.

[0041] According to another aspect of the present disclosure, a non-volatile computer-readable storage medium is provided, on which computer program instructions are stored, characterized in that the computer program instructions implement the above method when executed by a processor.

[0042] According to another aspect of the present disclosure, a light environment and posture detection system based on a wearable device is proposed, comprising:

[0043] A wearable device, used to collect illumination data of ambient light and motion data of a target object wearing the wearable device, wherein the wearable device is worn near the eyes of the target object;

[0044] According to the above light environment and posture detection device;

[0045] The communication device is used to transmit the illumination data and motion data to the light environment and posture detection device.

[0046] According to another aspect of the present disclosure, a computer program product is provided, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0047] Based on this, the present disclosure detects the posture and / or light environment of the target object based on the illumination data and motion data collected by the wearable device, so that the wearable device can realize the long-term and multi-location healthy light environment perception, and based on the illumination data and motion data, the health effects of light can be detected and prompted from the perspective of biorhythm and vision health at the same time. The wearable device has the characteristics of small size and easy wearing. It can be worn near the eyes of the target object, and the light environment of the target object's eyes and the posture of the target object itself can be evaluated in a long-term and multi-location manner without being restricted by time and space. It can be applied to daytime work activities and also to daily life at night.

[0048] Further features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments with reference to the attached drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0049] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.

[0050] Figure 1 A schematic diagram of a light environment and gesture detection system according to an embodiment of the present disclosure is shown.

[0051] Figure 2a A flow chart of a light environment and posture detection method according to an embodiment of the present disclosure is shown.

[0052] Figure 2b A flowchart showing a method for detecting light environment and posture according to an embodiment of the present disclosure is shown.

[0053] Figure 3 A spectrum diagram of a spectral sensor having 8 spectral response bands is shown.

[0054] Figure 4 A schematic diagram showing a three-axis acceleration sensor.

[0055] Figure 5 A schematic diagram showing the pose of a target object.

[0056] Figure 6 A schematic diagram of wired data transmission according to an embodiment of the present disclosure is shown.

[0057] Figure 7 A schematic diagram of wireless data transmission according to an embodiment of the present disclosure is shown.

[0058] Figure 8 A schematic diagram showing the wearing of a wearable device according to an embodiment of the present disclosure is shown.

[0059] Fig. 9 A block diagram of a device 1900 for light environment and gesture detection according to an exemplary embodiment is shown. DETAILED DESCRIPTION

[0060] Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. The same reference numerals in the accompanying drawings represent elements with the same or similar functions. Although various aspects of the embodiments are shown in the accompanying drawings, the drawings are not necessarily drawn to scale unless otherwise specified.

[0061] The word “exemplary” is used exclusively herein to mean “serving as an example, example, or illustration.” Any embodiment described herein as “exemplary” is not necessarily to be construed as preferred or advantageous over other embodiments.

[0062] In addition, in order to better illustrate the present disclosure, numerous specific details are given in the following specific embodiments. It should be understood by those skilled in the art that the present disclosure can also be implemented without certain specific details. In some examples, methods, means, components and circuits well known to those skilled in the art are not described in detail in order to highlight the subject matter of the present disclosure.

[0063] The information received by the eyes affects the human body's emotions and health. The light it receives not only provides vision but also affects the body's biological clock. Not only that, the biorhythmic effect of light and vision health are interrelated. On the one hand, they both need to obtain light data from the human eye. For example, too much light during the day can damage the retina, and exposure to blue light at night can induce sleep disorders. On the other hand, they are all related to a person's working status. For example, the light environment can affect a person's working status, and substandard light environments and postures can affect a person's vision health. Vision health is an important part of national health, involving the entire life cycle of people of all ages. Visual impairment affects the physical and mental health and quality of life of the people and is a serious social problem.

[0064] Based on this, the present disclosure provides a method and device for detecting light environment and posture. The wearable device collects illumination data and motion data to detect the posture of the target object and / or the light environment in which it is located. Therefore, the wearable device can realize the long-term and multi-location healthy light environment perception, and based on the illumination data and motion data, the health effects of light can be detected and prompted from the perspectives of biorhythm and vision health at the same time. The wearable device has the characteristics of small size and easy wearing. It can be worn near the eyes of the target object, and the light environment of the target object's eyes and the posture of the target object itself can be evaluated in a long-term and multi-location manner. It is not limited by time and space, and can be applied to daytime work activities as well as to daily life at night.

[0065] Figure 1 FIG. 1 is a schematic diagram showing a light environment and posture detection system based on a wearable device according to an embodiment of the present disclosure. Figure 1 As shown, the system includes:

[0066] The wearable device 11 is used to collect illumination data of ambient light and motion data of a target object wearing the wearable device, and the wearable device is worn near the eyes of the target object. The wearable device 11 may include a spectral sensor and a motion sensor. The spectral sensor may output response values ​​of different spectral bands by collecting ambient light irradiated to the wearable device, and the response values ​​may be used as illumination data. The motion sensor may obtain motion data of the head of the target object wearing the wearable device. These sensors may be miniaturized, so the diameter of the wearable device 11 may be controlled within 1 cm, and may be worn near the eyes of the user, such as Figure 8 A schematic diagram of wearing a wearable device according to an embodiment of the present disclosure is shown, so that the wearable device is fixed near the eyes, and the light sensor probe in the spectral sensor can face the direction of the incoming light. "Near the eyes" can represent any position in the area where the head is located, such as the forehead, earlobe, and other positions close to the eyes. The wearing methods of the wearable device include but are not limited to: 1. Fixing on the glasses frame with a clip; 2. Fixing on the earlobe with a clip; 3. Fixing on the front of the forehead with an elastic band. The wearable device may be provided with a switch button. When the user chooses to turn on the wearable device, the wearable device starts, and starts to collect light data and motion data through the wearable device.

[0067] The communication device 12 is used to transmit the illumination data and motion data to the light environment and posture detection device. The communication device 12 and the wearable device 11 can be connected by wire or wirelessly, and the communication device 12 can also be integrated into the wearable device 11. The communication device 12 obtains the illumination data and motion data collected by the wearable device 11, and transmits them to the light environment and posture detection device 13, which can be wired transmission or wireless transmission methods such as Bluetooth and WIFI. The light environment and posture detection device 13 can be an electronic device such as a smart phone, a tablet, or a computer.

[0068] Figure 6 A schematic diagram of a wired data transmission of an embodiment of the present disclosure is shown, including a wearable device 11, a communication device 12, and a light environment and posture detection device 13. Among them, the communication device 12 is a data cable, and the light environment and posture detection device 13 is a smart phone. The white dots in the figure are light sensor probes, which face the direction of the light when worn and collect the ambient light irradiated to the wearable device. The data cable supplies power to the wearable device and transmits the data monitored by the wearable device to the light environment and posture detection device, which performs calculations, storage and display.

[0069] Figure 7 A schematic diagram of wireless data transmission of an embodiment of the present disclosure is shown, including a wearable device 11, a communication device 12, and a light environment and posture detection device 13. Among them, the communication device 12 includes a data cable and a Bluetooth module, and the light environment and posture detection device 13 is a smart phone. The white dots in the figure are light sensor probes, which face the direction of the incoming light when worn and collect the ambient light irradiated to the wearable device. The data cable supplies power to the wearable device and transmits the data monitored by the wearable device to the Bluetooth module in the communication device. The Bluetooth module transmits the data to the light environment and posture detection device, and performs calculations, storage and display in the light environment and posture detection device.

[0070] The light environment and posture detection device 13 may include a computing unit, a real-time prompting unit, a storage module, and a historical data prompting unit.

[0071] The computing unit can process the illumination data and motion data to obtain the detection results. For example, it can be completed on electronic devices such as mobile phones, tablets, and computers. According to the illumination data output by the spectral sensor in the wearable device 11, the spectral information is determined to determine whether the main light source of the current light environment is natural light or artificial lighting, and then the illumination data is used to calculate the illumination, color temperature, and physiological illumination of the current ambient light to determine whether the light environment meets the standards. According to the motion data of the target object's head output by the motion sensor in the wearable device 11, the posture angle of the target object's head can be determined to determine whether the posture meets the standards.

[0072] The real-time prompt unit gives prompts or suggestions based on the data obtained by the computing unit. For example, it can be visualized through applications on mobile phones, tablets, computers and other electronic devices. It can clearly provide the impact of the light environment on vision and biorhythms, as well as multi-dimensional real-time evaluation of eye habits.

[0073] The storage module stores the data collected by the wearable device 11 and the detection results of the computing unit. For example, the data can be stored locally in the electronic device or in the cloud.

[0074] The historical data prompt unit provides health prompts to users based on the data and test results stored in the storage module over the past period of time. For example, it can be visualized through applications on electronic devices such as mobile phones, tablets, and computers, providing a multi-dimensional long-term evaluation of eye habits.

[0075] In one possible implementation, Figure 2a A flowchart of a light environment and posture detection method based on a wearable device according to an embodiment of the present disclosure is shown. The method can be Figure 1 The light environment and posture detection device 13 is implemented. Figure 2a As shown, the method includes:

[0076] S201, receiving illumination data of ambient light collected by a wearable device and motion data of a target object wearing the wearable device, wherein the wearable device is worn near eyes of the target object.

[0077] The wearable device may include a spectral sensor and a motion sensor. The illumination data may be the response values ​​of different spectral bands output by the spectral sensor by collecting ambient light (such as ambient light near the eyes) irradiated to the wearable device, where the response value refers to the magnitude of the signal. The motion data may be the motion acceleration of the head of the target object wearing the wearable device obtained by the motion sensor, in the form of Figure 4 Taking the three-axis acceleration sensor shown as an example, the three-axis acceleration sensor is a sensor used to measure spatial acceleration, that is, to measure the speed of an object changing in space. The motion data collected by the motion sensor can be the acceleration x, y, and z in the three-axis directions of the three-axis rectangular coordinate system. The present disclosure realizes wearable monitoring of multiple parameters such as illumination, spectral distribution, type of work, and posture through a miniaturized wearable device. At the same time, the wearable device is worn near the eyes of the target object, which can realize long-term and multi-location perception and has a wider range of application scenarios.

[0078] S202: Determine a posture angle of the target object's head according to the motion data.

[0079] Among them, Figure 4Take the three-axis acceleration sensor shown in the figure as an example: establish a three-axis rectangular coordinate system, and the motion sensor collects motion data, that is, the acceleration components in the three-axis directions, respectively (x, y, z). The angle between the current direction a and the xz plane is φ, and the angle between the current direction a and the yz plane is ω, then the calculation formula corresponding to the two angles is: Thus, the posture angle of the target object's head is calculated.

[0080] S203: Detect the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the illumination data to obtain a detection result.

[0081] Among them, since the wearable device is worn near the eyes of the target object, it can be considered that the data measured represents the light data received by the human eye and the movement data of the head. Therefore, by detecting the calculated posture angle and light data, the posture of the target object and the light environment in which it is located can be obtained.

[0082] The following describes several exemplary ways of obtaining the detection result by detecting the posture of the target object and / or the light environment in which the target object is located according to the posture angle and / or the light data in step S203.

[0083] In a possible implementation, step S203 may include: determining spectral information according to the illumination data; and determining, according to the spectral information, whether the main light source of the light environment is natural light or artificial light.

[0084] The illumination data may include the response values ​​of different spectral bands output by the spectral sensor through collecting the ambient light irradiated to the wearable device. Then, the spectral information may be obtained by fitting the multiple response values.

[0085] Among them, Figure 3 The spectrum diagram of a spectral sensor with 8 spectral response bands is shown. The spectrum distribution can be obtained by smoothly connecting the response values ​​of different bands. The wavelength of electromagnetic waves of visible light that can be perceived by the human eye is between 380 and 780 nanometers. Therefore, the horizontal axis of the diagram is set to represent the wavelength range of 400-700 nanometers, and the vertical axis represents the relative sensitivity (response value). Figure 3It can be observed that the spectral distribution of natural light and artificial lighting is quite different: the spectrum of natural light presents a continuous feature, while the spectrum of artificial lighting has peak and valley characteristics; in addition, the eye illumination provided by natural light is significantly higher than that of artificial lighting, and there will be a larger spectral response value under natural light. These characteristics can be used to distinguish whether the ambient light is natural light or artificial lighting. In one possible case, there are both natural light and artificial lighting. At this time, if the spectral distribution is closer to a continuous spectrum, it is mainly natural light; if the spectral distribution is closer to a peak and valley distribution spectrum, it is mainly artificial lighting.

[0086] In a possible implementation, step S203 may include: determining illumination according to the illumination data; and generating first prompt information when the illumination exceeds a first threshold, wherein the first prompt information indicates that the illumination is too high or an illumination adjustment method.

[0087] Among them, the illumination data can be used to calculate the illumination of the current ambient light. Illuminance refers to the luminous flux of visible light received per unit area, which is used to indicate the intensity of light and the degree of illumination of the surface area of ​​an object. If in a strong light environment, the function of the eye lens will be affected, and damage may cause cataracts; excessive illumination will also cause uncomfortable glare and damage to the retina. Therefore, when the illumination is too high, a real-time first prompt message is generated to reduce damage in time and avoid long-term damage, such as suggesting to lower the current light or take shading measures. Among them, the first threshold can be flexibly set according to personal circumstances and actual detection scenarios, as long as it meets human physiological and health standards.

[0088] In a possible implementation, step S203 may include: determining, according to the posture angle, whether the posture of the target object is computer office or paper office, and judging, according to the posture angle, whether the target object has a bad sitting posture.

[0089] Among them, Figure 5 As shown, after obtaining the posture angle of the target object's head, the target object's work type and posture can be judged. In a possible judgment method, the target object's work type is first judged according to the posture angle of the head. If the vertical direction of the head is close to parallel, it is computer work; if there is a downward inclination, it is paper work; and then the posture is judged. If the downward inclination is too large, it is a bad sitting posture.

[0090] In one possible implementation, step S203 may include: determining the color temperature based on the lighting data; when it is determined that the posture of the target object is computer work and the color temperature exceeds a second threshold, generating a second prompt information, the second prompt information indicating that the color temperature is too high or a color temperature adjustment method.

[0091] Among them, the color temperature of the current ambient light can be calculated through the illumination data. Blue has the highest color temperature and is present in large quantities in the light of computer monitors, digital products, LEDs, etc. Too high a color temperature will increase the amount of toxins in the macular area of ​​the eye, and prolonged staring will cause visual fatigue and irreversible damage, and too high a color temperature will affect the positive emotions of the staff. Therefore, when it is judged that the computer is working and the color temperature is too high, a real-time second prompt message is generated to reduce damage in time and avoid long-term harm, such as suggesting a timely rest or the use of anti-blue light products. Among them, the second threshold can be flexibly set according to personal circumstances and actual detection scenarios, as long as it meets human physiological and health standards.

[0092] In one possible implementation, step S203 may include: determining the target time period to which the current time belongs; determining the physiological equivalent illuminance based on the lighting data; when the physiological equivalent illuminance does not meet the preset conditions corresponding to the target time period, generating a third prompt information, wherein the third prompt information indicates that the physiological equivalent illuminance is abnormal or the physiological equivalent illuminance adjustment method.

[0093] Among them, the physiological equivalent illuminance of the current ambient light can be calculated through the illumination data. Physiological equivalent illuminance is a photometric derived from the effect of irradiance on the non-visual system of human beings. The non-visual system includes life rhythm, neuroendocrine and neurobehavior. In simple terms, light affects the biological clock. There are different physiological equivalent illuminance standards during the day and night. The specific time period can be determined according to the work requirements. This method does not limit the specific time period. In a possible implementation, the physiological equivalent illuminance of residential buildings at night refers to the data measured after 20:00 in the evening, and the physiological equivalent illuminance for long-term work refers to the data measured during the working hours from 10:00 to 17:00. In a possible implementation, the physiological equivalent illuminance at 1.2 meters in the main line of sight of places where people work for a long time in public buildings is not less than 200lx, and the physiological equivalent illuminance of residential buildings at night is not higher than 50lx. It can be determined that 10:00-17:00 is the first target period, and the corresponding preset condition is that the physiological equivalent illumination is not lower than threshold A. 20:00 to 6:00 the next day is the second target period, and the corresponding preset condition is that the physiological equivalent illumination is not higher than threshold B. Threshold A and threshold B can be set according to actual needs with reference to the above standards. In order to ensure a suitable and good rest environment and a comfortable and efficient working environment, when the physiological equivalent illumination does not meet the preset conditions corresponding to the target time period, a real-time third prompt information is generated to reduce discomfort in time and avoid long-term adverse effects on the biological clock, such as suggesting to adjust the lighting.

[0094] In a possible implementation, step S203 may include: when it is determined that the posture of the target object is an improper sitting posture, generating fourth prompt information, wherein the fourth prompt information indicates an improper sitting posture or a sitting posture adjustment method.

[0095] If the head posture angle is tilted downward too much, it means that the sitting posture is bad. Bad sitting posture not only causes visual fatigue due to the close writing distance, which affects vision over a long period of time, but also causes scoliosis of the spine, thus affecting breathing and digestion. In the long term, it will show slight displacement and affect other functions, such as causing thoracic kyphosis and affecting circulatory function. Therefore, a real-time fourth prompt information is generated to reduce damage in time and avoid long-term adverse effects on the eyes and body, such as suggesting adjusting the sitting posture or doing relaxation exercises.

[0096] The above-mentioned illuminance, color temperature, physiological equivalent illuminance, etc. can be obtained based on lighting data through relevant technologies.

[0097] In a possible implementation, the method may further include: storing the illumination data, motion data, and detection results, determining statistical information for light environment and posture detection according to the detection results within a preset time period, and generating fifth prompt information according to the statistical information.

[0098] Among them, all lighting data and motion data, as well as all calculation results such as illuminance, color temperature, physiological equivalent illuminance, posture angle, etc., and all detection results such as light source type, work type, posture, whether it meets the standards, etc. can be stored. Whether they meet the standards or not can all be stored, and the timestamp information corresponding to the data can also be recorded at the same time.

[0099] Among them, all information can be counted in the time period from the start of the device to the end of the detection or in any preset time period, including light data, motion data, calculation results, detection results and preset time period.

[0100] Among them, the detection results of the light environment and posture can be summarized according to the stored lighting data, motion data, calculation results, detection results and preset time period, and an overall risk warning can be given.

[0101] In one possible implementation, the statistical information may include: natural light illumination time; and / or the proportion of the time for reaching the standard for any one or more of illuminance, color temperature, physiological equivalent illuminance and posture of the target object to the preset time period.

[0102] For example, if the preset time period is 24 hours, the total duration of natural light illumination within the preset time period can be counted, or the ratio of the total duration when the illumination is lower than the first threshold (i.e., the illumination meets the standard) to 24 hours can be counted, and so on.

[0103] In a possible implementation, based on the statistical information, the fifth prompt information includes: when the natural light illumination time is insufficient, the fifth prompt information indicates to receive more sufficient natural light; when the illuminance and / or the target object's posture compliance rate is low, the fifth prompt information indicates that there is a risk of myopia; when the physiological equivalent illuminance compliance rate is low, the fifth prompt information indicates that there is a physiological rhythm health risk.

[0104] Among them, the compliance rate of light environment and posture can be calculated based on the proportion of compliance time to total monitoring time. The duration of natural light exposure can be calculated based on the sum of natural light exposure time. Then, the user's historical data is analyzed to generate the fifth macro-level prompt information.

[0105] In one possible implementation, if the exposure time to natural light is short, it indicates the need for more natural light to maintain health and a good mood; if the illuminance and posture standards are low, it indicates the risk of myopia; if the physiological equivalent illuminance standards are low, it indicates the risk of unhealthy physiological rhythms. This content can be visualized through applications on electronic devices such as mobile phones, tablets, and computers, and the impact of the light environment on vision and biological rhythms can be clearly recognized, as well as a multi-dimensional long-term evaluation of eye habits. Multi-dimensional evaluations and prompts help users maintain a healthy circadian rhythm and protect their vision health.

[0106] Figure 2b FIG. 1 is a flow chart showing a method for detecting a light environment and a posture according to an embodiment of the present disclosure. Figure 2b As shown, after the wearable device is turned on, the collected illumination data and motion data can be transmitted to the light environment and posture detection device. After receiving the illumination data and motion data, the light environment and posture detection device can obtain spectral information according to the illumination data, and determine whether the main light source of the light environment is natural light or artificial lighting according to the spectral information. The posture angle can be obtained according to the motion data, and the posture of the target object can be determined according to the posture angle. The illumination, color temperature, and physiological equivalent illumination can be obtained according to the illumination data, and combined with the time and the posture of the target object, it is determined whether the illumination, color temperature, and physiological equivalent illumination meet the standards. Real-time reminders can be made according to the various non-compliance situations described above, such as reminders through the light environment and posture detection device or the wearable device, and the various detection results, data and their timestamps described above can also be stored, and statistical information can be obtained based on the stored data, and reminders can be made according to the statistical information.

[0107] It should be noted that although Figure 2a and Figure 2bAs an example, a light environment and posture detection method is introduced as above, but those skilled in the art will understand that the present disclosure should not be limited to this. In fact, users can flexibly set thresholds according to personal circumstances and / or actual application scenarios, as long as they meet human physiological and health standards. It is also possible to flexibly use light data and motion data according to personal circumstances and / or actual application scenarios, not limited to the detection content given in this example.

[0108] In a possible implementation, the present disclosure further provides a light environment and posture detection device based on a wearable device, comprising:

[0109] A receiving module, configured to receive illumination data of ambient light collected by a wearable device and motion data of a target object wearing the wearable device, wherein the wearable device is worn near the eyes of the target object;

[0110] a determination module, configured to determine a posture angle of the target object's head according to the motion data;

[0111] The detection module is used to detect the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result.

[0112] In some embodiments, the functions or modules included in the device provided by the embodiments of the present disclosure can be used to execute the method described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments, and for the sake of brevity, it will not be repeated here.

[0113] The embodiment of the present disclosure also provides a computer-readable storage medium on which computer program instructions are stored, and the computer program instructions implement the above method when executed by a processor. The computer-readable storage medium can be a volatile or non-volatile computer-readable storage medium.

[0114] The disclosed embodiment also proposes a light environment and posture detection device based on a wearable device, comprising: a processor; a memory for storing instructions executable by the processor; wherein the processor is configured to implement the above method when executing the instructions stored in the memory.

[0115] The embodiments of the present disclosure also provide a computer program product, including a computer-readable code, or a non-volatile computer-readable storage medium carrying the computer-readable code. When the computer-readable code runs in a processor of an electronic device, the processor in the electronic device executes the above method.

[0116] Fig. 9 FIG. 1 is a block diagram of a device 1900 for detecting light environment and posture according to an exemplary embodiment. For example, the device 1900 may be provided as a server or a terminal device. Fig. 9 , the apparatus 1900 includes a processing component 1922, which further includes one or more processors, and a memory resource represented by a memory 1932 for storing instructions, such as an application, that can be executed by the processing component 1922. The application stored in the memory 1932 may include one or more modules, each corresponding to a set of instructions. In addition, the processing component 1922 is configured to execute instructions to perform the above method.

[0117] The device 1900 may also include a power supply component 1926 configured to perform power management of the device 1900, a wired or wireless network interface 1950 configured to connect the device 1900 to a network, and an input / output (I / O) interface 1958. The device 1900 may operate based on an operating system stored in the memory 1932, such as Windows Server™, MacOS X™, Unix™, Linux™, FreeBSD™, or the like.

[0118] In an exemplary embodiment, a non-volatile computer-readable storage medium is also provided, such as a memory 1932 including computer program instructions, which can be executed by the processing component 1922 of the device 1900 to perform the above method.

[0119] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0120] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0121] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0122] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0123] Various aspects of the present disclosure are described herein with reference to the flowcharts and / or block diagrams of the methods, devices (systems) and computer program products according to the embodiments of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer-readable program instructions.

[0124] These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, thereby producing a machine, so that when these instructions are executed by the processor of the computer or other programmable data processing device, a device that implements the functions / actions specified in one or more boxes in the flowchart and / or block diagram is generated. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause the computer, programmable data processing device, and / or other equipment to work in a specific manner, so that the computer-readable medium storing the instructions includes a manufactured product, which includes instructions for implementing various aspects of the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0125] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device so that a series of operating steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby causing the instructions executed on the computer, other programmable data processing apparatus, or other device to implement the functions / actions specified in one or more boxes in the flowchart and / or block diagram.

[0126] The flow chart and block diagram in the accompanying drawings show the possible architecture, function and operation of the system, method and computer program product according to multiple embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a part of a module, program segment or instruction, and a part of the module, program segment or instruction includes one or more executable instructions for realizing the specified logical function. In some alternative implementations, the function marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two continuous square boxes can actually be executed substantially in parallel, and they can sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or action, or can be implemented with a combination of special hardware and computer instructions.

[0127] The embodiments of the present disclosure have been described above, and the above description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and changes will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The selection of terms used herein is intended to best explain the principles of the embodiments, practical applications, or technical improvements in the market, or to enable other persons of ordinary skill in the art to understand the embodiments disclosed herein.

Claims

1. A light environment and posture detection method based on wearable devices, It is characterized in that include: Receiving illumination data of ambient light collected by a wearable device and motion data of a target object wearing the wearable device, wherein the wearable device is worn near the eyes of the target object, and the illumination data includes response values ​​of different spectral bands output by a spectral sensor through collecting ambient light irradiated to the wearable device; determining a posture angle of the target object's head based on the motion data; Detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result, including: Determining spectral information according to the illumination data includes: fitting response values ​​of different spectral bands to obtain spectral information; determining whether the main light source of the light environment is natural light illumination or artificial lighting according to the spectral information; According to the posture angle, determining that the posture of the target object is computer office or paper office; determining a color temperature according to the illumination data; When it is determined that the target object is working on a computer and the color temperature exceeds a second threshold, generating second prompt information, wherein the second prompt information indicates that the color temperature is too high or a color temperature adjustment method; storing the illumination data, motion data and detection results; Determine statistical information for light environment and posture detection according to the detection results within a preset time period, wherein the statistical information includes natural light illumination time; Generating fifth prompt information according to the statistical information includes: When the natural light illumination time is insufficient, the fifth prompt information instructs to receive more sufficient natural light.

2. The method according to claim 1, It is characterized in that Detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result, including: determining illumination according to the illumination data; When the illumination exceeds a first threshold, first prompt information is generated, wherein the first prompt information indicates that the illumination is too high or an illumination adjustment method.

3. The method according to claim 1, It is characterized in that Detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result, including: It is determined whether the target object has a bad sitting posture according to the posture angle.

4. The method according to claim 1, It is characterized in that Detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result, including: Determine the target time period to which the current time belongs; Determine the physiological equivalent illuminance based on the illumination data; When the physiological equivalent illumination does not meet the preset condition corresponding to the target time period, a third prompt information is generated, and the third prompt information indicates that the physiological equivalent illumination is abnormal or a physiological equivalent illumination adjustment method.

5. The method according to claim 1, It is characterized in that Detecting the posture of the target object and / or the light environment in which it is located according to the posture angle and / or the light data to obtain a detection result, further comprising: When it is determined that the posture of the target object is an improper sitting posture, fourth prompt information is generated, and the fourth prompt information indicates an improper sitting posture or a sitting posture adjustment method.

6. The method according to claim 1, It is characterized in that The statistical information includes: The proportion of the time for achieving the target for any one or more of the illuminance, color temperature, physiological equivalent illuminance and the posture of the target object to the preset time period.

7. The method according to claim 6, It is characterized in that Generating fifth prompt information according to the statistical information includes: When the illuminance and / or the target object's posture compliance rate is low, the fifth prompt information indicates that there is a risk of myopia; When the physiological equivalent illumination compliance rate is low, the fifth prompt information indicates that there is a physiological rhythm health risk.

8. A light environment and posture detection device based on wearable devices, It is characterized in that include: processor; a memory for storing processor-executable instructions; The processor is configured to implement the method described in any one of claims 1 to 7 when executing the instructions stored in the memory.

9. A non-volatile computer-readable storage medium having computer program instructions stored thereon, It is characterized in that When the computer program instructions are executed by a processor, the method according to any one of claims 1 to 7 is implemented.

10. A light environment and posture detection system based on wearable devices, It is characterized in that include: A wearable device, used to collect illumination data of ambient light and motion data of a target object wearing the wearable device, wherein the wearable device is worn near the eyes of the target object; The light environment and posture detection device according to claim 8; The communication device is used to transmit the illumination data and motion data to the light environment and posture detection device.

Images