Wearable intelligent muscle sensing system and feedback method for muscle movement state

Abstract

A wearable smart muscle sensing system includes a muscle-sensing fabric and a control device. The muscle-sensing fabric is worn over a target body part of the user to sense muscle movement of at least a portion of the muscles in that body part. The muscle movement of these muscles causes deformation of the muscle-sensing fabric, thereby generating electrical signals. The control device is detachably electrically connected to the muscle-sensing fabric to receive the electrical signals and determine the motion state of the target body part based on the signals. The motion state includes the trajectory and / or force intensity of the at least a portion of the muscles in the target body part, and / or the posture of the target body part.

Claims

1. A wearable smart muscle sensing system, comprising: a muscle sensing fabric for covering a target body part worn by a user, thereby sensing a muscle movement of at least a portion of the muscles of the target body part, wherein the muscle movement of the at least a portion of the muscles causes deformation of the muscle sensing fabric, thereby generating an electrical signal; and a control device detachably electrically connected to the muscle sensing fabric to receive the electrical signal from the muscle sensing fabric and determine a motion state of the target body part based on the electrical signal, wherein the motion state includes the motion trajectory and / or force intensity of the at least a portion of the muscles of the target body part, and / or a posture of the target body part; and wherein the control device further obtains a muscle contour of the target body part in a relaxed state based on the electrical signal, and matches the muscle sensing fabric with the target body part based on the muscle contour to determine an initial state of the target body part.

2. The wearable smart muscle sensing system as claimed in claim 1, wherein the control device is configured to compare the motion state with a target motion state of the target body part, and output haptic feedback based on the comparison result to drive the user to adjust the motion state of the target body part.

3. The wearable smart muscle sensing system as claimed in claim 2, wherein the haptic feedback is generated by at least one of the following: the control device, the muscle sensing fabric, and at least one feedback device connected to the control device.

4. The wearable smart muscle sensing system as claimed in claim 2, wherein the haptic feedback comprises at least one of the following forms: Tactile feedback, visual feedback, and auditory feedback.

5. The wearable smart muscle sensing system as described in claim 1 further includes at least one physiological sensor disposed on the user to obtain at least one physiological signal of the user, and the control device determines a physiological state of the user based on the at least one physiological signal and the movement state.

6. The wearable smart muscle sensing system as claimed in claim 5, wherein the at least one physiological signal comprises at least one of the following: Blood oxygen concentration, heart rate, heart rate variability, respiration, body temperature, and electrocardiogram signals.

7. A muscle movement state feedback method, comprising: providing a wearable smart muscle sensing system, the wearable smart muscle sensing system comprising a muscle sensing fabric and a control device, wherein the control device is preloaded with a motion model database, wherein the motion model database comprises a plurality of motion models; covering a target body part of a user with the muscle sensing fabric and connecting the control device to the muscle sensing fabric; the user performing a target movement to cause at least a portion of the muscles of the target body part to generate a muscle movement; the control device receiving an electrical signal generated by the muscle sensing fabric, wherein the electrical signal is generated by the deformation of the muscle sensing fabric caused by the muscle movement of the at least a portion of the muscles; the control device performing a zeroing procedure to obtain a muscle contour of the target body part in a relaxed state based on the electrical signal, and matching the muscle sensing fabric with the target body part based on the muscle contour, thereby determining an initial state of the target body part; The control device determines a motion state of at least a portion of the muscles based on the electrical signal, wherein the motion state includes the motion trajectory and / or force intensity of the at least a portion of the muscles of the target body part, and / or a posture of the target body part; the control device compares the motion state with the motion model database to select a motion model suitable for the motion state from the motion model database; and the control device outputs a sense of unity related to the target motion to the user based on the selected motion model.

8. The muscle movement state feedback method as described in claim 7 further includes: The control device compares the target motion state of the target motion included in the selected motion model with the motion state of at least a part of the muscles of the target body part, and determines the somatosensory feedback based on the comparison result, and then outputs the somatosensory feedback to the user; and drives the user to adjust the motion state of at least a part of the muscles of the target body part to approach the target motion state through the somatosensory feedback.

9. The muscle motion state feedback method as described in claim 7, wherein the control device performs a calibration procedure after the muscle sensing fabric is wrapped and worn on the target body part to confirm a wearing mode of the muscle sensing fabric, the calibration procedure comprising: analyzing the electrical signal generated by the muscle sensing fabric to determine the polarity of the electrical signal and to obtain a pressure distribution exerted by the target body part on the muscle sensing fabric; and determining the wearing mode of the muscle sensing fabric based on the polarity of the electrical signal and the pressure distribution, wherein the wearing mode includes the inner surface of the muscle sensing fabric facing the target body part, the inner surface of the muscle sensing fabric facing away from the target body part, the orientation of the muscle sensing fabric matching the orientation of the target body part, and / or the orientation of the muscle sensing fabric not matching the orientation of the target body part.

10. The muscle motion state feedback method as claimed in claim 7, wherein the control device includes an algorithm, and the algorithm executes a reinforcement learning procedure, the reinforcement learning procedure including: collecting historical motion states of the target body part of the user; and updating the selected motion model based on the historical motion states to generate a customized motion model of the target body part of the user.

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