Somatosensory glove and system based on flexible photoelectric bimodal sensor

By using flexible photoelectric dual-mode sensors and IMU inertial sensing modules in somatosensory gloves, combined with multimodal signal processing technology, the shortcomings in existing somatosensory gloves in terms of wear comfort, accuracy and sensitivity are solved, and high-precision and sensitive hand motion capture is achieved.

CN119739281APending Publication Date: 2025-04-01SOUTH CHINA NORMAL UNIV
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Patent Information

Application Number
CN202411756321.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-04-01

AI Technical Summary

Technical Problem

The existing somatosensory gloves have shortcomings in terms of wear comfort, motion capture accuracy and sensitivity, and the sensor module is large in size and cannot be deformed.

Method used

A flexible photoelectric dual-mode sensor is used to collect signals caused by hand movements from two angles through stacking of electrosensing layers, insulation layers and light sensing layers. Combined with the IMU inertial sensing module, multimodal signal processing is performed.

Benefits of technology

The accuracy and sensitivity of motion capture are improved, the somatosensory gloves are small in size, high in integration, and comfortable to wear, and the accuracy of motion modeling is further improved through multimodal data fusion algorithm.

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Abstract

The invention relates to a somatosensory glove and system based on a flexible photoelectric dual-mode sensor. The somatosensory glove based on the flexible photoelectric bimodal sensor comprises a glove body, the flexible photoelectric bimodal sensor and a control circuit, the flexible photoelectric bimodal sensor is arranged on the glove body and can deform along with the hand action of a user so as to collect an original bimodal signal; the control circuit is electrically connected with the flexible photoelectric dual-mode sensor, and is used for preprocessing an original dual-mode signal acquired by the flexible photoelectric dual-mode sensor to obtain a preprocessed dual-mode signal, and then transmitting the preprocessed dual-mode signal to computing equipment. According to the flexible photoelectric bimodal sensor, bimodal signals caused by hand actions can be respectively collected from two angles through the optical sensing layer and the electric sensing layer, so that richer and more comprehensive action detail information is captured, and the accuracy and sensitivity of action capture are improved.
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