Year: 2024
Type: conference-paper
Abstract: With the increasing recognition of wearable gadgets, studies on gait popularity based totally on inertial sensing technology has come to be a warm subject matter in both academia and enterprise. This have a look at designs and implements a wearable inertial sensor-based device for gait section reputation to as it should be become aware of distinctive levels of human gait. The research introduces wearable inertial sensors, clarifies the definition and recognition objectives of gait stages, and constructs an green gait reputation version through facts acquisition, preprocessing, feature extraction, and set of rules layout. The machine's recognition accuracy and robustness had been evaluated via experiments. Results imply that the proposed method can correctly pick out distinct gait levels with excessive accuracy and actual-time performance. The look at provides technical aid and alertness potentialities for shrewd healthcare, rehabilitation training, and movement analysis.
Author: Canye Lin
Institution: Fujian Normal University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
OpenAlex ID: W4410237487