High-fidelity method for converting optical data into inertial data
An optical data, high-fidelity technology, applied in the interpretation of photos, navigation through speed/acceleration measurement, etc., to achieve high fidelity and improve the effect of occupational safety protection
Pending Publication Date: 2022-04-12
杭州环木信息科技有限责任公司
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[0004] The present invention provides a method for generating ADL data (inertial data) from video by using the photometric effect, and there is no research achievement of this type of technology recorded in the public literature at present
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[0024] First of all, it should be explained that the present invention relates to data processing technology, which is an application of computer technology in the field of image recognition technology. During the implementation of the present invention, the application of multiple software function modules will be involved. The applicant believes that, after carefully reading the application documents and accurately understanding the realization principle and purpose of the present invention, combined with existing known technologies, those skilled in the art can fully implement the present invention by using their software programming skills. The aforementioned software function modules include but are not limited to: non-local computing, long-short-term memory network, etc., all mentioned in the application documents of the present invention belong to this category, and the applicant will not list them one by one.
[0025] Those skilled in the art know that, in addition to ...
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The invention relates to the field of computer wearable computing, and aims to provide a high-fidelity method for converting optical data into inertial data. Comprising the following steps: acquiring optical signal data formed by daily activities of a human body by using a camera sensor; processing the optical signal data to obtain optical motion field data; and converting the optical signal data into inertial data, and reconstructing the inertial data by using a long-short-term memory network in combination with information of a tracking area and human kinematics constraint information of light projection. According to the invention, based on the luminosity effect of light reflection on the surface of the human body, the conversion from the optical signal with high fidelity to the inertial data is realized, and the obtained inertial data has high correlation with human kinematics knowledge; more inertial data can be generated for researchers to analyze body postures of workers in a working scene, and occupational safety protection is improved; the method can be applied to the condition that wearable equipment is not easy to deploy, and on-site human body motion data analysis is provided for a user.
Description
technical field [0001] The invention relates to the field of computer wearable computing, in particular to a conversion method of optical inertial data based on a photometric effect and a human body motion model. Background technique [0002] Activities of Daily Living (ADL) is a key indicator used to assess the health status of individuals. ADL data has been widely used in the fields of smart buildings, smart health, and human-computer interaction. Especially for human health detection, such as heart disease prediction, stroke rehabilitation tracking, etc., it is necessary to analyze a large amount of ADL data. However, the collection of ADL data usually requires the construction of sensor systems, recruitment of participants, etc., which requires high costs, so there is still a lack of ADL data. [0003] Existing ADL datasets use multiple inertial sensors (Inertial Measurement Unit, IMU) to cover the body areas commonly used in ADL monitoring for data acquisition. But fo...
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IPC IPC(8): G01C11/04G01C21/16
Inventor 许文曜林峰李勤黄名畯
Owner 杭州环木信息科技有限责任公司