Work

FROM KEYPOINTS TO ACTIONS: REAL-TIME MOTION ANALYSIS USING MOVENET AND LIGHTWEIGHT Conv1D NETWORKS

Year: 2026

Type: article

Source: Journal of Mechanics in Medicine and Biology

DOI: 10.1142/s0219519426500272

Authors: JUI-LIANG HSU, KENG-HSI LIN, YU-HSUAN CHIANG, MU-YEN CHEN

Institutions: Cheng Shiu University, National Cheng Kung University

Language: English

Topic: Human Pose and Action Recognition

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science and Technology Council

Awards: Applying the Multi-Model Artificial Intelligence Integrated with Large Language Model for Prediction and Classification of Classroom Behavior, The Application of Generative Ai and Large Language Models in Engineering Education - Assisting Students in Flipped Learning System Construction, Learning Styles and Learning Effectiveness of Chatgpt

OpenAlex ID: W7154356265

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Cites: 16

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