Physiological index detection method and device, electronic equipment, vehicle and storage medium

Abstract

The invention discloses a physiological index detection method and device, electronic equipment, a vehicle and a storage medium. The physiological index detection method comprises the steps of obtaining a physiological index of a first object in a target environment where the first object is located; determining a target preset environment matched with the target environment from a plurality of preset environments; according to the physiological index adjustment information corresponding to the target preset environment, the physiological index is adjusted, the adjusted physiological index is obtained, the influence of the environment on the physiological index can be reduced, the adjusted physiological index is more accurate, and the detection accuracy of the physiological index is improved.

Description

Technical Field

[0001] The present application relates to the field of electronic technology, and in particular to a physiological indicator detection method, device, electronic device, vehicle and storage medium, wherein the storage medium is a computer-readable storage medium. Background Art

[0002] Physiological indicators can be used to judge the user's health status and avoid accidents caused by physical discomfort. For example, by detecting the driver's physiological indicators, it can be determined whether the driver is feeling unwell while driving the car, so that emergency situations can be responded to in time and traffic accidents can be avoided. However, due to the influence of the environment, the accuracy of the collected physiological indicators is relatively low. Summary of the invention

[0003] The embodiments of the present application provide a physiological indicator detection method, device, electronic device, vehicle and storage medium, which can improve the detection accuracy of physiological indicators.

[0004] In order to achieve the above object, according to the first aspect of the present application, a physiological index detection method is provided, comprising:

[0005] Acquiring physiological indicators of the first subject in the target environment;

[0006] Determine a target preset environment matching the target environment from a plurality of preset environments;

[0007] According to the physiological indicator adjustment information corresponding to the target preset environment, the physiological indicator is adjusted to obtain the adjusted physiological indicator.

[0008] According to the second aspect of the present application, another physiological index detection method is provided, comprising:

[0009] Acquiring physiological indicators of a second object under a plurality of preset environments, and acquiring physiological indicator labels corresponding to the physiological indicators of the second object;

[0010] According to the difference between the physiological indicator and the physiological indicator label, physiological indicator adjustment information corresponding to each of the preset environments is obtained, and the physiological indicator adjustment information is used to adjust the physiological indicator.

[0011] According to a third aspect of the present application, a physiological index detection device is provided, comprising:

[0012] A first acquisition unit, used to acquire physiological indicators of the first subject in the target environment;

[0013] A determination unit, configured to determine a target preset environment matching the target environment from a plurality of preset environments;

[0014] The adjustment unit is used to adjust the physiological index according to the physiological index adjustment information corresponding to the target preset environment to obtain the adjusted physiological index.

[0015] According to a fourth aspect of the present application, another physiological index detection device is provided, comprising:

[0016] a second acquisition unit, configured to acquire physiological indicators of a second object under a plurality of preset environments, and to acquire physiological indicator labels corresponding to the physiological indicators of the second object;

[0017] The information generating unit is used to obtain physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label, wherein the physiological indicator adjustment information is used to adjust the physiological indicator.

[0018] According to a fifth aspect of the present application, an electronic device is provided, comprising a memory and a processor; the memory stores a computer program, and the processor is used to run the computer program in the memory to execute any one of the physiological indicator detection methods provided in the embodiments of the present application.

[0019] According to a sixth aspect of the present application, a vehicle is provided, comprising the electronic device provided in an embodiment of the present application.

[0020] According to a seventh aspect of the present application, a computer-readable storage medium is provided, wherein the computer-readable storage medium is used to store a computer program, and the computer program is loaded by a processor to execute any physiological indicator detection method provided in the embodiments of the present application.

[0021] The embodiment of the present application obtains the physiological indicators of the first object in the target environment; determines the target preset environment that matches the target environment from multiple preset environments; adjusts the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment to obtain adjusted physiological indicators, thereby reducing the impact of the environment on the physiological indicators, making the adjusted physiological indicators more accurate, and improving the detection accuracy of the physiological indicators. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present application, and those skilled in the art can obtain other drawings based on these drawings without creative work.

[0023] Figure 1 is a flow chart of a physiological index detection method provided in an embodiment of the present application;

[0024] Figure 2is another flow chart of the physiological index detection method provided in the embodiment of the present application;

[0025] Figure 3 It is a schematic diagram of the model structure provided in the embodiment of the present application;

[0026] Figure 4 is a schematic diagram of a physiological index detection device provided in an embodiment of the present application;

[0027] Figure 5 is a schematic diagram of another physiological index detection device provided in an embodiment of the present application;

[0028] Figure 6 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0029] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0030] The embodiments of the present application provide a physiological index detection method, device, electronic device, vehicle and computer-readable storage medium. The physiological index detection device can be integrated in an electronic device.

[0031] It should be noted that the description order of the following embodiments is not intended to limit the preferred order of the embodiments.

[0032] A physiological index detection method provided in an embodiment of the present application will be described below from the perspective of a physiological index detection device. The physiological index detection device can be specifically integrated in an electronic device, such as Figure 1 As shown, the specific process of the physiological index detection method can be as follows:

[0033] 101. Obtain physiological indicators of a first subject in a target environment.

[0034] Among them, physiological indicators may include heart rate, blood oxygen concentration, body temperature, blood pressure, etc.; the first object may be the object of the detected physiological indicators, such as the driver, passengers, etc. on a vehicle, and the vehicle may be a vehicle, a ship or an airplane, etc.; the target environment may be composed of multiple environmental factors, for example, the target environment may be a face with normal skin color, the face facing the camera, the light is bright and the road is urban, or a face with normal skin color, the face facing the camera, the light is bright and the road is rural, etc.

[0035] The physiological indicators of the first object in the target environment can be obtained by detecting the first object through a detection device. The detection device can be a wearable device of the first object, or a device in the space where the first object is located, such as a sports bracelet, a camera, etc.

[0036] In one embodiment, the detection device may be a device configured on a vehicle, such as a camera, an infrared sensor, a steering wheel and a seat of the vehicle, etc. The steering wheel and the seat may include sensors, and the physiological indicators of the first object may be detected by the sensors.

[0037] There may be one or more detection devices. If there are multiple detection devices, the physiological indicators may include common physiological indicators and associated physiological indicators, wherein the common physiological indicators are physiological indicators detected by at least two devices, the associated physiological indicators are physiological indicators associated with the common physiological indicators, and the associated physiological indicators may include physiological indicators whose changes are related to the common physiological indicators. That is, in one embodiment, the physiological indicators include common physiological indicators and associated physiological indicators, and the step of "obtaining the physiological indicators of the first object in the target environment" may include:

[0038] detecting multiple candidate physiological indicators of the first subject by using multiple detection devices;

[0039] Acquiring common physiological indicators from a plurality of candidate physiological indicators, and acquiring related physiological indicators;

[0040] The common physiological indicator is a physiological indicator detected by at least two detection devices, and the associated physiological indicator is a physiological indicator associated with the common physiological indicator.

[0041] For example, the physiological indicators of the first object may be detected by different detection devices to obtain multiple candidate physiological indicators, and common physiological indicators and related physiological indicators may be obtained from the multiple candidate physiological indicators according to the detection objects of the candidate physiological indicators.

[0042] Exemplarily, the candidate physiological indicators may include blood oxygen concentration. Blood oxygen concentration is a physiological indicator detected by multiple detection devices. In this case, the physiological indicator is a common physiological indicator. The physiological indicator associated with blood oxygen concentration may be a physiological indicator related to changes in blood oxygen concentration.

[0043] The multiple detection devices may include a first detection device and a second detection device, and obtaining a common physiological indicator from the candidate physiological indicators may specifically include:

[0044] Acquire common physiological indicators detected by both the first detection device and the second detection device from the candidate physiological indicators detected by the first detection device and the candidate physiological indicators detected by the second detection device;

[0045] The first detection device and the second detection device detect physiological indicators in different ways.

[0046] The first detection device and the second detection device can be different detection devices. For example, the first detection device can be a camera, and the second detection device can be an infrared sensor. Alternatively, the first detection device and the second detection device can be contact sensors and non-contact sensors. The contact sensor contacts the first object when detecting physiological indicators, such as the steering wheel and seat on a vehicle, and the non-contact sensor does not contact the first object when detecting physiological indicators, such as a camera. That is, in one embodiment, the first detection device is a contact sensor and the second detection device is a non-contact sensor.

[0047] 102. Determine a target preset environment that matches the target environment from multiple preset environments.

[0048] Among them, the preset environment can be a pre-set environment, the preset environment can include an environment that will affect the detection accuracy of the detection equipment for physiological indicators, and the preset environment can be composed of multiple environmental factors. For example, the preset environment can include a normal face skin color, a face facing the camera, bright light and an urban road.

[0049] By comparing the environmental factors included in the preset environment with the environmental factors included in the target environment, a target preset environment matching the target environment is determined.

[0050] Optionally, if there is no target preset environment matching the target environment among multiple preset environments, it means that the trustworthiness of the physiological indicators detected in the target environment is very low, and corresponding prompts, such as voice prompts, etc., may be given.

[0051] 103. According to the physiological indicator adjustment information corresponding to the target preset environment, the physiological indicator is adjusted to obtain the adjusted physiological indicator.

[0052] Each preset environment may correspond to a physiological indicator adjustment information, and the physiological indicator adjustment information indicates how to adjust the physiological indicator to obtain an adjusted physiological indicator with higher accuracy. The health status of the first object may be judged based on the accurate physiological indicator, and timely response may be made based on the health status of the first object to avoid accidents. For example, when the driver is driving the vehicle, if it is found based on the physiological indicators that the driver is unwell, the vehicle may be controlled to pull over to the side of the road to avoid traffic accidents.

[0053] The physiological index adjustment information may be an adjustment parameter, and the adjusted physiological index is obtained by adding the physiological index and the physiological index adjustment information.

[0054] For another example, physiological indicators can be adjusted and processed through a neural network model. The neural network model learns the physiological indicator adjustment information corresponding to various preset environments. The neural network model can adjust the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment to obtain the adjusted physiological indicators.

[0055] If the physiological indicators include common physiological indicators and associated physiological indicators, the physiological indicators can be adjusted through different models. That is, in one embodiment, the step of "adjusting the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment to obtain the adjusted physiological indicators" may include:

[0056] For the common physiological indicator, adjusting the common physiological indicator according to the first indicator adjustment model corresponding to the target preset environment to obtain an adjusted common physiological indicator;

[0057] For the associated physiological indicators, the second indicator adjustment model corresponding to the target preset environment is used to adjust the associated physiological indicators based on the adjusted common physiological indicators to obtain the adjusted associated physiological indicators.

[0058] For the common physiological indicators, the common physiological indicators can be input into a first indicator adjustment model corresponding to the target preset environment, and the common physiological indicators can be adjusted by the first indicator adjustment model to obtain the adjusted common physiological indicators.

[0059] For the associated physiological indicators, the associated physiological indicators can be input into the second indicator adjustment model corresponding to the target preset environment, and the associated physiological indicators can be adjusted based on the adjusted common physiological indicators through the second indicator adjustment model corresponding to the target preset environment to obtain the adjusted associated physiological indicators.

[0060] Common physiological indicators can be detected by multiple detection devices, so based on the common physiological indicators detected by multiple detection devices, more accurate adjusted associated physiological indicators can be obtained. However, only one detection device can detect the associated physiological indicators, so the adjustment of the associated physiological indicators will be more difficult. Based on the common physiological indicators related to the changes in the associated physiological indicators, the associated physiological indicators can be adjusted to improve the accuracy of the adjusted associated physiological indicators.

[0061] Optionally, a plurality of preset environments may correspond to one first indicator adjustment model, or each preset environment may be set to correspond to one first indicator adjustment model, that is, in one embodiment, each preset environment corresponds to one first indicator adjustment model.

[0062] Optionally, a plurality of preset environments may correspond to one second indicator adjustment model, or each preset environment may be set to correspond to one second indicator adjustment model, that is, in one embodiment, each preset environment corresponds to one second indicator adjustment model.

[0063] Optionally, the first indicator adjustment model and the second indicator adjustment model can be models of the same type, for example, both are neural network models, or non-neural network models, such as the Kalman model, or the first indicator adjustment model is the Kalman model and the second indicator adjustment model is the neural network model.

[0064] As can be seen from the above, the embodiments of the present application obtain the physiological indicators of the first object in the target environment; determine the target preset environment that matches the target environment from multiple preset environments; adjust the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment, and obtain the adjusted physiological indicators, thereby reducing the impact of the environment on the physiological indicators, making the adjusted physiological indicators more accurate, and improving the detection accuracy of the physiological indicators.

[0065] Another physiological index detection method provided in the embodiment of the present application will be described from the perspective of a physiological index detection device. The physiological index detection device can be integrated in an electronic device, such as Figure 2 As shown, the specific process of the physiological index detection method can be as follows:

[0066] 201. Acquire physiological indicators of a second object under multiple preset environments, and acquire physiological indicator labels corresponding to the physiological indicators of the second object.

[0067] The first object may be an object of detected physiological indicators, such as a driver or passenger on a vehicle, and the vehicle may be a vehicle, a ship or an airplane, etc.; the preset environment may be a predetermined environment, and the preset environment may include an environment that may affect the detection accuracy of the detection equipment for physiological indicators. The preset environment may be composed of multiple environmental factors. For example, one of the preset environments may be a face with normal skin color, a face facing the camera, bright light and an urban road.

[0068] The physiological indicator label corresponding to the physiological indicator of the second object can be considered as the true value of the physiological indicator of the second object. The physiological indicator label can be obtained by testing with professional medical equipment or by testing with equipment whose error meets the conditions.

[0069] 202. Obtain physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label, where the physiological indicator adjustment information is used to adjust the physiological indicator.

[0070] According to the difference between the physiological indicator and the physiological indicator label, the physiological indicator adjustment information corresponding to each preset environment is obtained. Specifically, for each preset environment, based on the difference between the physiological indicator and the physiological indicator label, the adjustment parameter corresponding to the physiological indicator is determined. The adjustment parameter is the physiological indicator adjustment information. After the adjustment parameter is obtained, after the physiological indicator is detected, the physiological indicator and the adjustment parameter can be added to obtain the adjusted physiological indicator, so that the obtained physiological indicator is closer to the true value.

[0071] Alternatively, the physiological indicators are used as samples and the physiological indicator labels are used as sample labels, and the model used to adjust the physiological indicators is trained to obtain a trained indicator adjustment model. The indicator adjustment model can be a neural network model or a non-neural network model, for example, it can be a Kalman model. The physiological indicators can be adjusted through the trained indicator adjustment model to make the adjusted physiological indicators more accurate.

[0072] There may be one or more devices for detecting physiological indicators. If there are multiple detection devices, the physiological indicators may include common physiological indicators and associated physiological indicators, and the physiological indicator adjustment information corresponding to the common physiological indicators and the associated physiological indicators may be different. That is, in one embodiment, the physiological indicators include common physiological indicators and associated physiological indicators, and the physiological indicator adjustment information includes first physiological indicator adjustment information between the preset environment and the common physiological indicators, and second physiological indicator adjustment information between the preset environment and the associated physiological indicators.

[0073] For each preset environment, first physiological indicator adjustment information can be obtained according to the difference between the common physiological indicator and the corresponding physiological indicator label, and second physiological indicator adjustment information can be obtained according to the difference between the associated physiological indicator and the corresponding physiological indicator label.

[0074] In one embodiment, the first physiological indicator adjustment information includes a first indicator adjustment model, the second physiological indicator adjustment information includes a second indicator adjustment model, and the step of "obtaining physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label" includes:

[0075] For each preset environment, the candidate first indicator adjustment model is trained according to the common physiological indicators detected in the preset environment and the corresponding physiological indicator labels to obtain the first indicator adjustment model;

[0076] For each preset environment, the candidate second indicator adjustment model is trained according to the associated physiological indicators and corresponding physiological indicator labels detected in the preset environment to obtain the second indicator adjustment model.

[0077] For example, for each preset environment, the common physiological indicators detected under the preset environment are used as samples, and the common physiological indicators and the corresponding physiological indicator labels are used as sample labels. The candidate first indicator adjustment model is trained until the preset training conditions are met to obtain the first indicator adjustment model. The preset training conditions may be, for example, that the error of the first indicator adjustment model is less than a preset error threshold, or the number of training times reaches a preset number of times.

[0078] The associated physiological indicators detected under the preset environment are used as samples, and the associated physiological indicators and the corresponding physiological indicator labels are used as sample labels. The candidate second indicator adjustment model is trained until the preset training conditions are met to obtain the second indicator adjustment model. The preset training conditions may, for example, be that the error of the first indicator adjustment model is less than a preset error threshold, or the number of training times reaches a preset number of times.

[0079] The common physiological indicator is determined by the detection device, and the associated physiological indicator is determined by the correlation with the common physiological indicator. That is, in one embodiment, the physiological indicator is detected by multiple detection devices. Before the step of "obtaining physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label", the method may also include:

[0080] Acquire multiple candidate physiological indicators detected by multiple detection devices;

[0081] Determine, from a plurality of candidate physiological indicators, a common physiological indicator detected by at least two detection devices;

[0082] According to the correlation between each candidate physiological indicator and the common physiological indicator among the candidate physiological indicators except the common physiological indicator, the associated physiological indicator related to the common physiological indicator is determined.

[0083] For example, candidate physiological indicators detected by each detection device among multiple detection devices are obtained; and common physiological indicators detected by at least two detection devices are screened from the multiple candidate physiological indicators.

[0084] According to the candidate physiological indicators other than the common physiological indicators, the correlation between the common physiological indicators and the candidate physiological indicators can be determined by mining the correlation between the common physiological indicators and the candidate physiological indicators. The higher the correlation, the more relevant the candidate physiological indicators are to the common physiological indicators, and the lower the correlation, the less relevant the candidate physiological indicators are to the common physiological indicators.

[0085] In one embodiment, the association between candidate physiological indicators and candidate physiological indicators may be mined by using an Apriori algorithm to obtain physiological indicators between the candidate physiological indicators and the common physiological indicators.

[0086] According to the comparison between the correlation degree corresponding to the candidate physiological indicator and the preset correlation degree threshold, the candidate physiological indicator with the correlation degree greater than the preset correlation degree threshold is determined as the associated physiological indicator of the common physiological indicator.

[0087] After the common physiological indicators and the associated physiological indicators are determined, the physiological indicators of the second object under a plurality of preset environments may be divided into the common physiological indicators and the associated physiological indicators corresponding to the second object.

[0088] The multiple detection devices may include a first detection device and a second detection device. The first detection device and the second detection device may be different detection devices. For example, the first detection device may be a camera, and the second detection device may be an infrared sensor.

[0089] Alternatively, the first detection device is a contact sensor and the second detection device is a non-contact sensor. The contact sensor contacts the first object when detecting physiological indicators, such as the steering wheel and seat on a vehicle, and the non-contact sensor does not contact the first object when detecting physiological indicators, such as a camera. There can be one or more first detection devices and there can also be one or more second detection devices.

[0090] The multiple preset environments may be set according to environmental factors that affect the detection accuracy of the first detection device and environmental factors that affect the detection accuracy of the second detection device, or may be obtained by the following steps:

[0091] Acquire a first physiological indicator of a third object detected by a first detection device under a plurality of first environments, and acquire a first indicator label corresponding to the first physiological indicator;

[0092] Acquire a second physiological indicator of a third object detected by a second detection device under a plurality of second environments, and acquire a second indicator label corresponding to the second physiological indicator;

[0093] According to the first physiological indicator, the first indicator label, the second physiological indicator and the second indicator label, environment fusion processing is performed on the multiple first environments and the multiple second environments to obtain multiple preset environments.

[0094] The third object may be an object whose physiological indicators are to be detected, such as a driver or a passenger on a vehicle, and the vehicle may be a car, a ship or an airplane.

[0095] The first indicator label may be the true value of the first physiological indicator, and the second indicator label may be the true value of the second physiological indicator. The first physiological indicator label and the second physiological indicator label may be obtained through professional medical equipment testing, or through equipment testing with errors meeting conditions.

[0096] The multiple first environments may include multiple specific environments, such as an environment with bright light, an environment with a front-facing face camera, and an environment with normal face skin color. Each specific environment may include multiple environments with fixed environmental factors, such as the environmental factor of normal face skin color remains unchanged.

[0097] The multiple second environments may include multiple specific environments, such as an environment with sweaty hands, an environment with one hand holding the steering wheel, and an environment of driving on a mountain road. Each specific environment may include multiple environments with a fixed environmental factor, such as the environmental factor of sweaty hands remains unchanged.

[0098] According to the method, the first physiological indicator of the third object detected by the first detection device is obtained in each first environment, and the first indicator label corresponding to the first physiological indicator is obtained, and the error between the first physiological indicator and the first indicator label is calculated; the similarity between any two first environments is determined according to the error, and the accuracy of the first physiological indicators obtained in similar environments is similar.

[0099] Since the first detection device can detect multiple first physiological indicators, a two-dimensional indicator vector can be obtained based on the multiple first physiological indicators, and a two-dimensional label vector corresponding to multiple first indicator labels can also be obtained. Correspondingly, an error vector corresponding to multiple errors can also be obtained; according to the error vector corresponding to each environment is mapped to the feature space, the distance between each two error vectors can be obtained, and then the similarity between any two first environments can be determined.

[0100] In the first environments with similarities, the invariant environmental factors corresponding to each first environment are combined to obtain a plurality of first environmental factor combinations corresponding to the plurality of first environments. Similarly, a plurality of second environmental factor combinations corresponding to the plurality of second environments can be obtained.

[0101] Optionally, the first environmental factor corresponding to the first environment obtained by clustering and the second environmental factor corresponding to the second environment may be combined, and a plurality of preset environments may be obtained by combining the first environmental factor combination and the second environmental factor combination. That is, in one embodiment, the step of "performing environmental fusion processing on the plurality of first environments and the plurality of second environments according to the first physiological indicator, the first indicator label, the second physiological indicator and the second indicator label to obtain a plurality of preset environments" may include:

[0102] According to the difference between the first physiological indicator and the first indicator label, clustering is performed on the plurality of first environments to obtain a first environment cluster;

[0103] performing clustering processing on the plurality of second environments according to the difference between the second physiological indicator and the second indicator label to obtain a second environment cluster;

[0104] The first environment in the first environment cluster and the second environment in the second environment cluster are merged to obtain a plurality of preset environments.

[0105] For example, the difference between the first physiological indicator and the first indicator label may be calculated, and multiple first environments may be clustered according to the difference to obtain a first environment cluster. There may be multiple first environment clusters, and each first environment cluster includes multiple first environments.

[0106] The difference between the second physiological indicator and the second indicator label is calculated, and the multiple second environments are clustered according to the difference to obtain a second environment cluster. There may be multiple second environment clusters, and each second environment cluster includes multiple second environments.

[0107] For each first environment cluster, the unchanged environmental factors corresponding to the first environment in each environment cluster are merged to obtain a corresponding first environment factor combination. Each first environment cluster corresponds to an environmental factor combination, and the environmental factors corresponding to each first environment cluster are combined to obtain multiple first preset environments.

[0108] For each second environment cluster, the unchanged environmental factors corresponding to the second environment in each environment cluster are merged to obtain a corresponding second environment factor combination. Each second environment cluster corresponds to one environmental factor combination. The environmental factors corresponding to each second environment cluster are combined to obtain multiple second preset environments.

[0109] A plurality of first preset environments and a plurality of second preset environments may be used as a plurality of preset environments.

[0110] Optionally, multiple first preset environments and multiple second preset environments may be merged, that is, in one embodiment, there are multiple first environment clusters and multiple second environment clusters, and the step of “merging the first environment in the first environment cluster and the second environment in the second environment cluster to obtain multiple preset environments” includes:

[0111] For each first environment cluster, generating a first preset environment according to the first environment of the first environment cluster, and determining a first confidence level of the first preset environment according to an error between a first physiological indicator and a first indicator label corresponding to the first environment cluster;

[0112] For each second environment cluster, generating a second preset environment according to the second environment in the second environment cluster, and determining a second confidence level of the second preset environment according to an error between a second physiological indicator and a second indicator label corresponding to the second environment cluster;

[0113] According to the first confidence level and the second confidence level, a plurality of first preset environments and a plurality of second preset environments are fused to obtain a plurality of preset environments.

[0114] For example, for each first environment cluster, the confidence of the first preset environment corresponding to the first environment cluster can be determined according to the error corresponding to the first environment cluster. The error corresponding to the first environment cluster includes the errors of the first physiological indicators and the first indicator labels in each first environment in the first environment cluster. Specifically, the average value of the corresponding errors in the environment cluster can be taken as the first confidence of the first preset environment, or the error corresponding to the first environment of the cluster center of the first environment cluster can be taken as the first confidence.

[0115] Optionally, the first confidence level may be normalized to obtain a first confidence level ranging from 0 to 1.

[0116] With reference to the process of determining the first confidence level of the first preset environment corresponding to the first environment cluster, the second confidence level of the second preset environment corresponding to each second environment cluster may be obtained.

[0117] According to the first confidence level and the second confidence level, multiple first preset environments and multiple second preset environments are fused to obtain multiple preset environments. For example, the first preset environments whose first confidence level is less than a preset confidence threshold are filtered to obtain the filtered first preset environments, and the second preset environments whose second confidence level is less than the preset confidence threshold are filtered to obtain the filtered second preset environments.

[0118] The filtered first preset environment and the filtered second preset environment are used as preset environments.

[0119] Optionally, the first environment and the second environment may be subjected to environment fusion processing to obtain a fused environment, and a preset environment may be obtained based on the fused environment. That is, in one embodiment, the step of “fusing a plurality of first preset environments and a plurality of second preset environments according to a first confidence level and a second confidence level to obtain a plurality of preset environments” includes:

[0120] Performing environment fusion processing on the plurality of first preset environments and the plurality of second preset environments to obtain a plurality of fusion environments;

[0121] Performing confidence fusion processing on a first confidence of a first preset environment fused by each fused environment and a second confidence of a second preset environment fused by each fused environment to obtain a confidence of each fused environment;

[0122] According to the confidence levels of the multiple fusion environments and a preset confidence threshold, the multiple fusion environments are screened to obtain multiple preset environments.

[0123] For example, the dependency relationship between the first preset environment and the second preset environment can be extracted, and the first preset environment and the second preset environment can be integrated according to the dependency relationship to obtain a integrated environment, which can include at least one first preset environment and at least one second preset environment.

[0124] The first confidence of the first preset environment and the second confidence of the second preset environment fused by the fused environment are subjected to confidence fusion processing to obtain the confidence of the fused environment. For example, the maximum confidence therebetween can be used as the confidence of the fused environment.

[0125] Optionally, the B-TRA model may be used to perform environment fusion processing on multiple first preset environments and multiple second preset environments to obtain multiple fused environments, and obtain the confidence of the fused environments.

[0126] like Figure 3 As shown, the B-TRA model may include multiple encoding layers, multiple decoding layers and multiple locking layers, each encoding layer corresponds to a locking layer, and the environment matrix 1 corresponding to the multiple first preset environments is encoded by the encoder and input into the encoding layer of the B-TRA model, and the environment matrix 2 corresponding to the multiple second preset environments is encoded by the encoder and input into the encoding layer of the B-TRA model. The encoding layer captures the dependency between the two environment scene matrices and outputs it to the next encoding layer.

[0127] The confidence 1 of multiple first preset environments (i.e., multiple first confidences) and the confidence 2 corresponding to multiple second preset environments (i.e., multiple second confidences) are input into the locking layer of the B-TRA model, which is used to fuse the confidences according to the fusion of the first preset environment and the second preset environment after each layer of Encode, and the final dependency and confidence combination is obtained after multiple layers of encoding layers and multiple layers of lock layers.

[0128] After being decoded by multiple layers of Decode layers, the environment fusion data is decoded into multiple identifiable fusion environments and corresponding confidence levels.

[0129] Among the multiple fusion environments, fusion environments whose confidence is less than a preset confidence threshold are eliminated to obtain multiple preset environments.

[0130] As can be seen from the above, the embodiment of the present application obtains the physiological indicators of the second object under multiple preset environments, and obtains the physiological indicator labels corresponding to the physiological indicators of the second object; according to the differences between the physiological indicators and the physiological indicator labels, the physiological indicator adjustment information corresponding to each preset environment is obtained, and the physiological indicator adjustment information is used to adjust the physiological indicators. The physiological indicator adjustment information can reduce the impact of the environment on the physiological indicators, make the physiological indicators adjusted based on the physiological indicator adjustment information more accurate, and improve the detection accuracy of the physiological indicators.

[0131] In order to better implement the physiological index detection method provided in the embodiment of the present application, a physiological index detection device is also provided in one embodiment. The meanings of the terms are the same as those in the above-mentioned physiological index detection method, and the specific implementation details can refer to the description in the method embodiment.

[0132] The physiological index detection device can be integrated into an electronic device, such as Figure 4 As shown, the physiological index detection device may include: a first acquisition unit 301, a determination unit 302 and an adjustment unit 303, which are specifically as follows:

[0133] (1) A first acquisition unit 301 is used to acquire physiological indicators of a first subject in a target environment.

[0134] In one embodiment, the first obtaining unit 301 may also be used for:

[0135] detecting multiple candidate physiological indicators of the first subject by using multiple detection devices;

[0136] Acquiring common physiological indicators from a plurality of candidate physiological indicators, and acquiring related physiological indicators;

[0137] The common physiological indicator is a physiological indicator detected by at least two detection devices, and the associated physiological indicator is a physiological indicator associated with the common physiological indicator.

[0138] In one embodiment, the multiple detection devices include a first detection device and a second detection device, and the first acquisition unit 301 may also be used to:

[0139] Acquire common physiological indicators detected by both the first detection device and the second detection device from the candidate physiological indicators detected by the first detection device and the candidate physiological indicators detected by the second detection device;

[0140] The first detection device and the second detection device detect physiological indicators in different ways.

[0141] In one embodiment, the first detection device is a contact sensor, and the second detection device is a non-contact sensor.

[0142] (2) A determination unit 302, configured to determine a target preset environment matching the target environment from a plurality of preset environments.

[0143] (3) An adjustment unit 303, which is used to adjust the physiological indicator according to the physiological indicator adjustment information corresponding to the target preset environment to obtain the adjusted physiological indicator.

[0144] In one embodiment, the adjustment unit 303 may also be used to:

[0145] For the common physiological indicator, adjusting the common physiological indicator according to the first indicator adjustment model corresponding to the target preset environment to obtain an adjusted common physiological indicator;

[0146] For the associated physiological indicators, the second indicator adjustment model corresponding to the target preset environment is used to adjust the associated physiological indicators based on the adjusted common physiological indicators to obtain the adjusted associated physiological indicators.

[0147] In one embodiment, each preset environment corresponds to a first indicator adjustment model.

[0148] In one embodiment, each preset environment corresponds to a second indicator adjustment model.

[0149] As can be seen from the above, the embodiment of the present application obtains the physiological indicators of the first object in the target environment through the first acquisition unit 301; the determination unit 302 determines the target preset environment matching the target environment from multiple preset environments; the adjustment unit 303 adjusts the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment, obtains the adjusted physiological indicators, reduces the impact of the environment on the physiological indicators, makes the adjusted physiological indicators more accurate, and improves the detection accuracy of the physiological indicators.

[0150] In order to better implement the physiological index detection method provided in the embodiment of the present application, another physiological index detection device is also provided in one embodiment. The meanings of the terms are the same as those in the above-mentioned physiological index detection method, and the specific implementation details can refer to the description in the method embodiment.

[0151] The physiological index detection device can be integrated into an electronic device, such as Figure 5 As shown, the physiological index detection device may include: a second acquisition unit 401 and an information generation unit 402, which are specifically as follows:

[0152] (1) A second acquisition unit 401 is used to acquire physiological indicators of a second object under a plurality of preset environments, and to acquire physiological indicator labels corresponding to the physiological indicators of the second object.

[0153] (2) An information generating unit 402 is used to obtain physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label, and the physiological indicator adjustment information is used to adjust the physiological indicator.

[0154] In one embodiment, the physiological indicators include common physiological indicators and associated physiological indicators, and the physiological indicator adjustment information includes first physiological indicator adjustment information between the preset environment and the common physiological indicators, and second physiological indicator adjustment information between the preset environment and the associated physiological indicators.

[0155] In one embodiment, the first physiological indicator adjustment information includes a first indicator adjustment model, and the second physiological indicator adjustment information includes a second indicator adjustment model. The information generation unit 402 may also be used to:

[0156] For each preset environment, the candidate first indicator adjustment model is trained according to the common physiological indicators detected in the preset environment and the corresponding physiological indicator labels to obtain the first indicator adjustment model;

[0157] For each preset environment, the candidate second indicator adjustment model is trained according to the associated physiological indicators and corresponding physiological indicator labels detected in the preset environment to obtain the second indicator adjustment model.

[0158] In one embodiment, the physiological index detection device provided in the embodiment of the present application may further include:

[0159] A third acquisition unit is used to acquire multiple candidate physiological indicators detected by multiple detection devices;

[0160] A first indicator determination unit is used to determine a common physiological indicator detected by at least two detection devices from a plurality of candidate physiological indicators;

[0161] The second indicator determination unit is used to determine the associated physiological indicator related to the common physiological indicator according to the correlation between each candidate physiological indicator and the common physiological indicator among the candidate physiological indicators except the common physiological indicator.

[0162] In one embodiment, the physiological index detection device provided in the embodiment of the present application may further include:

[0163] a fourth acquisition unit, configured to acquire a first physiological indicator of a third object detected by the first detection device under a plurality of first environments, and to acquire a first indicator label corresponding to the first physiological indicator;

[0164] a fifth acquisition unit, configured to acquire a second physiological indicator of a third object detected by the second detection device under a plurality of second environments, and to acquire a second indicator label corresponding to the second physiological indicator;

[0165] The fusion unit is used to perform environment fusion processing on multiple first environments and multiple second environments according to the first physiological indicator, the first indicator label, the second physiological indicator and the second indicator label to obtain multiple preset environments.

[0166] In one embodiment, the fusion unit may also be used to:

[0167] According to the difference between the first physiological indicator and the first indicator label, clustering is performed on the plurality of first environments to obtain a first environment cluster;

[0168] performing clustering processing on the plurality of second environments according to the difference between the second physiological indicator and the second indicator label to obtain a second environment cluster;

[0169] The first environment in the first environment cluster and the second environment in the second environment cluster are merged to obtain a plurality of preset environments.

[0170] In one embodiment, there are multiple first environment clusters and multiple second environment clusters, and the fusion unit may also be used for:

[0171] For each first environment cluster, generating a first preset environment according to the first environment of the first environment cluster, and determining a first confidence level of the first preset environment;

[0172] For each second environment cluster, generating a second preset environment according to the second environment in the second environment cluster, and determining a second confidence level of the second preset environment;

[0173] According to the first confidence level and the second confidence level, a plurality of first preset environments and a plurality of second preset environments are fused to obtain a plurality of preset environments.

[0174] In one embodiment, the fusion unit may also be used to:

[0175] Performing environment fusion processing on the plurality of first preset environments and the plurality of second preset environments to obtain a plurality of fusion environments;

[0176] Performing confidence fusion processing on a first confidence of a first preset environment fused by each fused environment and a second confidence of a second preset environment fused by each fused environment to obtain a confidence of each fused environment;

[0177] According to the confidence levels of the multiple fusion environments and a preset confidence threshold, the multiple fusion environments are screened to obtain multiple preset environments.

[0178] As can be seen from the above, the embodiment of the present application obtains the physiological indicators of the second object under multiple preset environments through the second acquisition unit 401, and obtains the physiological indicator labels corresponding to the physiological indicators of the second object; the information generation unit 402 obtains the physiological indicator adjustment information corresponding to each preset environment based on the difference between the physiological indicators and the physiological indicator labels. The physiological indicator adjustment information is used to adjust the physiological indicators. The physiological indicator adjustment information can reduce the impact of the environment on the physiological indicators, make the physiological indicators adjusted based on the physiological indicator adjustment information more accurate, and improve the detection accuracy of the physiological indicators.

[0179] The present application also provides an electronic device, such as Figure 6 As shown, it shows a schematic diagram of the structure of the electronic device involved in the embodiment of the present application, specifically:

[0180] The electronic device may include components such as a processor 1001 with one or more processing cores, a memory 1002 with one or more computer-readable storage media, a power supply 1003, and an input unit 1004. Those skilled in the art will appreciate that Figure 6 The electronic device structure shown in the figure does not constitute a limitation on the electronic device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0181] The processor 1001 is the control center of the electronic device. It uses various interfaces and lines to connect various parts of the entire electronic device. By running or executing software programs and / or modules stored in the memory 1002 and calling data stored in the memory 1002, it performs various functions of the electronic device and processes data, thereby monitoring the electronic device as a whole. Optionally, the processor 1001 may include one or more processing cores; preferably, the processor 1001 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, computer program, etc., and the modem processor mainly processes wireless communication. It is understandable that the above-mentioned modem processor may not be integrated into the processor 1001.

[0182] The memory 1002 can be used to store software programs and modules. The processor 1001 executes various functional applications and data processing by running the software programs and modules stored in the memory 1002. The memory 1002 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, a computer program required for at least one function (such as a sound playback function, an image playback function, etc.), etc.; the data storage area may store data created according to the use of the electronic device, etc. In addition, the memory 1002 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other volatile solid-state storage devices. Accordingly, the memory 1002 may also include a memory controller to provide the processor 1001 with access to the memory 1002.

[0183] The electronic device also includes a power supply 1003 for supplying power to each component. Preferably, the power supply 1003 can be logically connected to the processor 1001 through a power management system, so as to manage charging, discharging, and power consumption through the power management system. The power supply 1003 can also include one or more DC or AC power supplies, recharging systems, power failure detection circuits, power converters or inverters, power status indicators, and other arbitrary components.

[0184] The electronic device may further include an input unit 1004, which may be used to receive input digital or character information and generate keyboard, mouse, joystick, optical or trackball signal input related to user settings and function control.

[0185] Although not shown, the electronic device may further include a display unit, etc., which will not be described in detail herein. Specifically in this embodiment, the processor 1001 in the electronic device will load the executable files corresponding to the processes of one or more computer programs into the memory 1002 according to the following instructions, and the processor 1001 will run the computer programs stored in the memory 1002, thereby realizing various functions, as follows:

[0186] Acquiring physiological indicators of the first subject in the target environment;

[0187] Determine a target preset environment matching the target environment from a plurality of preset environments;

[0188] According to the physiological indicator adjustment information corresponding to the target preset environment, the physiological indicator is adjusted to obtain the adjusted physiological indicator.

[0189] or,

[0190] Acquiring physiological indicators of a second object under a plurality of preset environments, and acquiring physiological indicator labels corresponding to the physiological indicators of the second object;

[0191] According to the difference between the physiological indicator and the physiological indicator label, physiological indicator adjustment information corresponding to each of the preset environments is obtained, and the physiological indicator adjustment information is used to adjust the physiological indicator.

[0192] The specific implementation of the above operations can be found in the previous embodiments and will not be described in detail here.

[0193] As can be seen from the above, the embodiments of the present application obtain the physiological indicators of the first object in the target environment; determine the target preset environment that matches the target environment from multiple preset environments; adjust the physiological indicators according to the physiological indicator adjustment information corresponding to the target preset environment, and obtain the adjusted physiological indicators, thereby reducing the impact of the environment on the physiological indicators, making the adjusted physiological indicators more accurate, and improving the detection accuracy of the physiological indicators.

[0194] Alternatively, by obtaining the physiological indicators of the second object under multiple preset environments, and obtaining the physiological indicator labels corresponding to the physiological indicators of the second object; according to the differences between the physiological indicators and the physiological indicator labels, the physiological indicator adjustment information corresponding to each of the preset environments is obtained, and the physiological indicator adjustment information is used to adjust the physiological indicators. The physiological indicator adjustment information can reduce the impact of the environment on the physiological indicators, make the physiological indicators adjusted based on the physiological indicator adjustment information more accurate, and improve the detection accuracy of the physiological indicators.

[0195] According to one aspect of the present application, a computer program product or a computer program is provided, the computer program product or the computer program including computer instructions, the computer instructions being stored in a computer-readable storage medium. A processor of an electronic device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the electronic device executes the methods provided in various optional implementations in the above-mentioned embodiments.

[0196] Those skilled in the art will appreciate that all or part of the steps in the various methods of the above embodiments may be completed by a computer program, or by controlling related hardware through a computer program. The computer program may be stored in a computer-readable storage medium and loaded and executed by a processor.

[0197] To this end, an embodiment of the present application provides a computer-readable storage medium, which stores a computer program. The computer program can be loaded by a processor to execute any physiological indicator detection method provided in the embodiment of the present application.

[0198] The specific implementation of the above operations can be found in the previous embodiments, which will not be described in detail here.

[0199] The computer-readable storage medium may include: a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk, etc.

[0200] Since the computer program stored in the computer-readable storage medium can execute any physiological indicator detection method provided in the embodiments of the present application, the beneficial effects that can be achieved by any physiological indicator detection method provided in the embodiments of the present application can be achieved. Please refer to the previous embodiments for details and will not be repeated here.

[0201] The above is a detailed introduction to a physiological indicator detection method, device, electronic device and computer-readable storage medium provided in the embodiments of the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea; at the same time, for technical personnel in this field, according to the ideas of the present application, there will be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A physiological index detection method, characterized in that: include: Acquiring physiological indicators of the first subject in the target environment; Determine a target preset environment matching the target environment from a plurality of preset environments; According to the physiological indicator adjustment information corresponding to the target preset environment, the physiological indicator is adjusted to obtain the adjusted physiological indicator.

2. The method according to claim 1, characterized in that The physiological indicators include common physiological indicators and associated physiological indicators, and the step of obtaining the physiological indicators of the first subject in the target environment includes: detecting a plurality of candidate physiological indicators of the first subject by using a plurality of detection devices; Acquiring the common physiological indicator from the plurality of candidate physiological indicators, and acquiring the associated physiological indicator; The common physiological indicator is a physiological indicator detected by at least two detection devices, and the associated physiological indicator is a physiological indicator associated with the common physiological indicator.

3. The method according to claim 2, characterized in that The step of adjusting the physiological indicator according to the physiological indicator adjustment information corresponding to the target preset environment to obtain the adjusted physiological indicator includes: For the common physiological indicator, adjusting the common physiological indicator according to a first indicator adjustment model corresponding to the target preset environment to obtain an adjusted common physiological indicator; With respect to the associated physiological indicators, the associated physiological indicators are adjusted based on the adjusted common physiological indicators by using a second indicator adjustment model corresponding to the target preset environment to obtain adjusted associated physiological indicators.

4. The method according to claim 3, characterized in that: Each preset environment corresponds to a first indicator adjustment model.

5. The method according to claim 3, characterized in that: Each preset environment corresponds to a second indicator adjustment model.

6. The method according to any one of claims 2 to 5, characterized in that: The multiple detection devices include a first detection device and a second detection device, and obtaining the common physiological indicator from the multiple candidate physiological indicators includes: Acquire common physiological indicators detected by both the first detection device and the second detection device from candidate physiological indicators detected by the first detection device and candidate physiological indicators detected by the second detection device; The first detection device and the second detection device detect the physiological index in different ways.

7. The method according to claim 6, characterized in that The first detection device is a contact sensor, and the second detection device is a non-contact sensor.

8. A method for detecting physiological indicators, characterized in that: include: Acquiring physiological indicators of a second object under a plurality of preset environments, and acquiring physiological indicator labels corresponding to the physiological indicators of the second object; According to the difference between the physiological indicator and the physiological indicator label, physiological indicator adjustment information corresponding to each of the preset environments is obtained, and the physiological indicator adjustment information is used to adjust the physiological indicator.

9. The method according to claim 8, characterized in that The physiological indicators include common physiological indicators and associated physiological indicators, and the physiological indicator adjustment information includes first physiological indicator adjustment information between the preset environment and the common physiological indicators, and second physiological indicator adjustment information between the preset environment and the associated physiological indicators.

10. The method according to claim 9, characterized in that The first physiological indicator adjustment information includes a first indicator adjustment model, the second physiological indicator adjustment information includes a second indicator adjustment model, and the physiological indicator adjustment information corresponding to each preset environment is obtained according to the difference between the physiological indicator and the physiological indicator label, including: For each preset environment, training the candidate first indicator adjustment model according to the common physiological indicators and corresponding physiological indicator labels detected in the preset environment to obtain the first indicator adjustment model; For each preset environment, the candidate second indicator adjustment model is trained according to the associated physiological indicators and corresponding physiological indicator labels detected in the preset environment to obtain the second indicator adjustment model.

11. The method according to claim 9, characterized in that The physiological indicators are detected by a variety of detection equipment, and before obtaining the physiological indicator adjustment information corresponding to each of the preset environments according to the difference between the physiological indicators and the physiological indicator labels, the method further includes: Acquire multiple candidate physiological indicators detected by the multiple detection devices; Determining, from the plurality of candidate physiological indicators, a common physiological indicator detected by at least two detection devices; According to the correlation between each candidate physiological indicator and the common physiological indicator among the candidate physiological indicators except the common physiological indicator, the associated physiological indicator related to the common physiological indicator is determined.

12. The method according to claim 11, characterized in that The multiple detection devices include a first detection device and a second detection device, and the multiple preset environments are obtained by the following steps: Acquire a first physiological indicator of a third object detected by the first detection device under a plurality of first environments, and acquire a first indicator label corresponding to the first physiological indicator; Acquire a second physiological indicator of the third object detected by the second detection device under a plurality of second environments, and acquire a second indicator label corresponding to the second physiological indicator; According to the first physiological indicator, the first indicator label, the second physiological indicator and the second indicator label, environment fusion processing is performed on the multiple first environments and the multiple second environments to obtain multiple preset environments.

13. The method according to claim 12, characterized in that The step of performing environment fusion processing on the plurality of first environments and the plurality of second environments according to the first physiological indicator, the first indicator label, the second physiological indicator and the second indicator label to obtain a plurality of preset environments includes: performing clustering processing on the plurality of first environments according to a difference between the first physiological indicator and the first indicator label to obtain a first environment cluster; performing clustering processing on the plurality of second environments according to a difference between the second physiological indicator and the second indicator label to obtain a second environment cluster; The first environment in the first environment cluster and the second environment in the second environment cluster are merged to obtain the multiple preset environments.

14. The method according to claim 13, characterized in that There are multiple first environment clusters, there are multiple second environment clusters, and fusing the first environments in the first environment cluster and the second environments in the second environment cluster to obtain the multiple preset environments includes: For each of the first environment clusters, generating a first preset environment according to the first environment of the first environment cluster, and determining a first confidence level of the first preset environment; For each of the second environment clusters, generating a second preset environment according to the second environment in the second environment cluster, and determining a second confidence level of the second preset environment; According to the first confidence level and the second confidence level, a plurality of the first preset environments and a plurality of the second preset environments are fused to obtain a plurality of preset environments.

15. The method according to claim 14, characterized in that The step of fusing the plurality of first preset environments and the plurality of second preset environments according to the first confidence level and the second confidence level to obtain the plurality of preset environments includes: Performing environment fusion processing on the multiple first preset environments and the multiple second preset environments to obtain multiple fusion environments; Performing confidence fusion processing on a first confidence of a first preset environment fused by each of the fused environments and a second confidence of a second preset environment fused by each of the fused environments to obtain a confidence of each of the fused environments; The multiple fusion environments are screened according to the confidences of the multiple fusion environments and a preset confidence threshold to obtain the multiple preset environments.

16. A physiological index detection device, characterized in that: include: A first acquisition unit, used to acquire physiological indicators of the first subject in the target environment; A determination unit, configured to determine a target preset environment matching the target environment from a plurality of preset environments; The adjustment unit is used to adjust the physiological index according to the physiological index adjustment information corresponding to the target preset environment to obtain the adjusted physiological index.

17. A physiological index detection device, characterized in that: include: A second acquisition unit, configured to acquire physiological indicators of a second object under a plurality of preset environments, and to acquire physiological indicator labels corresponding to the physiological indicators of the second object; The information generating unit is used to obtain physiological indicator adjustment information corresponding to each preset environment according to the difference between the physiological indicator and the physiological indicator label, wherein the physiological indicator adjustment information is used to adjust the physiological indicator.

18. An electronic device comprising a memory and a processor; the memory stores a computer program, and the processor is used to run the computer program in the memory to execute the physiological index detection method described in any one of claims 1 to 7 or any one of claims 8 to 15.

19. A vehicle, characterized in that: An electronic device comprising the electronic device described in claim 18.

20. A computer-readable storage medium, characterized in that: The computer-readable storage medium is used to store a computer program, and the computer program is loaded by a processor to execute the physiological indicator detection method described in any one of claims 1 to 7 or any one of claims 8 to 15.

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