# US 10,765,357 B2 · System and method for detecting muscle activities > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,765,357 B2 - Document ID: US10765357B2 - Status: Granted - Kind: B2 - Application number: 14/981,846 - Filed: 2015-12-28 - Published: 2017-06-22 - Granted: 2020-09-08 - Earliest claimed: 2015-12-17 - Assignees: Industrial Technology Research Institute - Applicants: Industrial Technology Research Institute - Inventors: Chi-Kang Wu; Cheng-Li Chang - Web page: https://patentgrep.com/patent/US10765357B2 ## CPC - A61B 5/4519: {Muscles (measuring muscular strength A61B5/224; using electromyography [EMG] A61B5/389)} - A61B 5/11: Measuring movement of the entire body or parts thereof, e.g. head or hand tremor or mobility of a limb {(A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721)} - A61B 5/1107: {Measuring contraction of parts of the body, e.g. organ or muscle} - A61B 5/1123: {Discriminating type of movement, e.g. walking or running (A61B5/1116, A61B5/112 take precedence)} - A61B 5/6824: {Arm or wrist} - A61B 5/7225: {Details of analogue processing, e.g. isolation amplifier, gain or sensitivity adjustment, filtering, baseline or drift compensation (input circuits for detecting, measuring, or recording bioelectric or biomagnetic signals A61B5/30; specific diagnostic methods using bioelectric or biomagnetic signals A61B5/316)} - A61B 5/7282: {Event detection, e.g. detecting unique waveforms indicative of a medical condition (cough events A61B5/0823; seizures A61B5/4094; sleep apnoea A61B5/4818)} - A61B 2505/09: Rehabilitation or training - A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches - A61B 2562/04: Arrangements of multiple sensors of the same type - G06F 3/01: Input arrangements or combined input and output arrangements for interaction between user and computer (G06F3/16 takes precedence) - G06F 3/015: {Input arrangements based on nervous system activity detection, e.g. brain waves [EEG] detection, electromyograms [EMG] detection, electrodermal response detection} - G06F 3/017: {Gesture based interaction, e.g. based on a set of recognized hand gestures (interaction based on gestures traced on a digitiser G06F3/04883)} - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) ## Abstract A system and a method for detecting a muscle activity are provided. The system includes a vibration sensor. The vibration sensor detects a vibration signal at a sensing point located at an opposite side of an operating muscle system for analyzing a body movement. ## Claims ### Claim 1 A muscle activity detection system, comprising: a wearable ring, having a central point, a first extension line and a second extension line, wherein the first extension line and the second extension pass through the central point and are substantially perpendicular with each other; a first vibration sensor, located at a first antagonistic muscle group corresponding to a first agonist muscle system to detect a first vibration signal of the first agonist muscle system for analyzing a body movement, wherein the first antagonistic muscle group and the first agonist muscle system locate two opposite sides of a body region, the first vibration sensor is fixed on the wearable ring, and only the first vibration sensor is located at the first extension line; a second vibration sensor, located at a second antagonistic muscle group corresponding to a second agonist muscle system to detect a second vibration signal of the second agonist muscle system for analyzing the body movement, wherein the second antagonistic muscle group and the second agonist muscle system are located on two opposite sides of the body region, the second vibration sensor is fixed on the wearable ring, and only the second vibration is located at the second extension line; and an analysis circuit, analyzing the body movement at least according to the first vibration signal and the second vibration signal; wherein passes through the first antagonistic muscle group and the first agonist muscle system, the second extension line passes through the second antagonistic muscle group and the second agonist muscle system and crosses the first extension line, only one vibration sensor is located on the first extension line being the first vibration sensor, and only one vibration sensor located on the second extension line being the second vibration sensor. ### Claim 2 (depends on 1) The system according to claim 1, wherein the first vibration signal is a Mechanomyography (MMG) signal. ### Claim 3 (depends on 1) The system according to claim 1, the first agonist muscle system is independent of the second antagonistic muscle group when the first agonist muscle system has a first action, and the second agonist muscle system is independent of the first antagonistic muscle group when the second agonist muscle system has a second action. ### Claim 4 (depends on 1) The system according to claim 1, wherein the first vibration sensor is a sound reception device, an inertial sensing element or a piezoelectric sensing element. ### Claim 5 (depends on 1) The system according to claim 1, wherein the first extension line is perpendicular to the second extension line. ### Claim 6 (depends on 1) The system according to claim 1, wherein if a first signal feature of the first vibration signal is greater than or equal to a first predetermined value, and a second signal feature of the second vibration signal is less than a second predetermined value, the analysis circuit determines that an analysis result of the body movement is a first movement; if the first signal feature of the first vibration signal is less than a third predetermined value, and the second signal feature of the second vibration signal is greater than or equal to a fourth predetermined value, the analysis circuit determines that the analysis result of the body movement is a second movement; and if the first signal feature of the first vibration signal is greater than or equal to a fifth predetermined value, and the second signal feature of the second vibration signal is greater than or equal to a sixth predetermined value, the analysis circuit determines that the analysis result of the body movement is a third movement. ### Claim 7 (depends on 1) The system according to claim 1, wherein the analysis circuit analyzes the body movement according to a signal feature of the first vibration signal, and the signal feature comprises at least one of an amplitude and a frequency. ### Claim 8 A method for detecting a muscle activity adapted to a muscle activity detection system, comprising: wearing a wearable ring having a central point, a first extension line and a second extension line on an arm, wherein the first extension line and the second extension pass through the central point and are substantially perpendicular with each other, a first vibration sensor is fixed on the wearable ring, only the first vibration sensor is located at the first extension line, a second vibration sensor is fixed on the wearable ring, and only the second vibration sensor is located at the second extension line; detecting a first vibration signal of a first agonist muscle system by the first vibration sensor located at a first antagonistic muscle group corresponding to the first agonist muscle system, wherein the first antagonistic muscle group and the first agonist muscle system locate on two opposite sides of a body region; detecting a second vibration signal of a second agonist muscle system by the second vibration sensor located at a second antagonistic muscle group corresponding to the second agonist muscle system, wherein the second antagonistic muscle group and the second agonist muscle system are located on two opposite sides of the body region; and analyzing, by an analysis circuit, a body movement at least according to the first vibration signal and the second vibration signal; wherein passes through the first antagonistic muscle group and the first agonist muscle system, the second extension line passes through the second antagonistic muscle group and the second agonist muscle system and crosses the first extension line, only one vibration sensor is located on the first extension line being the first vibration sensor, and only one vibration sensor located on the second extension line being the second vibration sensor. ### Claim 9 (depends on 8) The method according to claim 8, wherein the first vibration signal comprises a Mechanomyography (MMG) signal. ### Claim 10 (depends on 8) The method according to claim 8, wherein the step of detecting the first vibration signal is performed by using a sound reception device, an inertial sensing element or a piezoelectric sensing element. ### Claim 11 (depends on 8) The method according to claim 8, wherein the first extension line is perpendicular to the second extension line. ### Claim 12 (depends on 8) The method according to claim 8, wherein the step of analyzing the body movement comprises: determining that an analysis result of the body movement is a first movement, if a first signal feature of the first vibration signal is greater than or equal to a first predetermined value, and a second signal feature of the second vibration signal is less than a second predetermined value; determining that the analysis result of the body movement is a second movement, if the first signal feature of the first vibration signal is less than a third predetermined value, and the second signal feature of the second vibration signal is greater than or equal to a fourth predetermined value; and determining that the analysis result of the body movement is a third movement, if the first signal feature of the first vibration signal is greater than or equal to a fifth predetermined value, and the second signal feature of the second vibration signal is greater than or equal to a sixth predetermined value. ### Claim 13 (depends on 8) The method according to claim 8, wherein the step of analyzing the body movement is performed according to a signal feature of the first vibration signal, and the signal feature comprises at least one of an amplitude and a frequency.