Patent ID: 11971951
Assignee: CITY UNIVERSITY OF HONG KONG
Field: Computer technology (Electrical engineering)
Classification: CPC G  A | IPC A  G

Claim 0:
1. A motion sensor data-driven system for sports action assessment, the system comprising:
a wearable sensor device (WSD) configured for wearability near a distal end of a limb of an athlete under observation by having a single motion sensor and a microcontroller unit (MCU) configured to operate in cooperation with the single motion sensor for collecting movement data for 3 axes of acceleration and 3 axes of angular rate for the athlete under observation performing one or more sports actions of a limb stroke sport, wherein the single motion sensor comprises a microelectromechanical system (MEMS) based inertial sensor configured to collect the movement data for the 3 axes of acceleration and the 3 axes of angular rate, and wherein the WSD is configured to transmit the movement data for real-time delivery to a motion sensor data processing platform;
the motion sensor data processing platform in communication with the WSD and having logic configured to analyze the movement data obtained from the single motion sensor of the WSD for real-time assessment of performance of the one or more sports actions by the athlete under observation without aid of sensor data provided by another sensor unit worn by the athlete, wherein the logic configured to analyze the movement data obtained from the single motion sensor for the real-time assessment of performance of the one or more sports actions by the athlete under observation includes preprocessing logic configured to apply filtering to the movement data and provide a filtered signal, segmentation logic configured to apply a sliding window top-down technique to extract statistical and morphology features from the filtered signal and provide a segmented dataset merged into a segmented data matrix, feature extraction logic configured to extract time domain, frequency domain, and heuristic domain features from the segmented data matrix and provide extracted feature datasets as inputs for sports action recognition, dimensionality reduction logic configured to apply principle component analysis (PCA) to the extracted feature datasets and express linear combinations of the extracted feature datasets as vectors, and classification logic configured to apply a Support Vector Machine (SVM) to analyze the vectors and apply a voting scheme to recognize a particular sports action of the one or more sports actions by the athlete under observation represented by the movement data; and
a processor-based system having an application configured to provide data regarding the particular sports action recognized by the logic of the motion sensor data processing platform for viewing in real-time by one or more of the athlete under observation, a trainer of the athlete under observation, and a coach of the athlete under observation.