AI-based Contactless Heart Rate Measurement Applied for Exercise Training Loading Monitoring
Current sports science judgments of exercise intensity and fatigue mostly rely on the interpretation of specific values (such as ventilation threshold, and blood lactate concentration) or the personal experience of coaches. Several recent studies support that exercise intensity and fatigue can be determined by the degree of variability in heart rate. AI video-based heart rate measurement captures the heart rate information in real-time without additional device burden, utilizes big data to analyze the current exercise intensity and performance during exercise, and gives appropriate exercise suggestions or warnings.
National Yang Ming Chiao Tung University (NYCU) was formed in 2021 through the merger of National Yang Ming University and National Chiao Tung University. Located in Hsinchu, Taiwan, NYCU is a leading institution specializing in technology, engineering, medicine, and social sciences. The university is known for its strengths in research and innovation, particularly in areas such as information technology, biomedicine, and artificial intelligence. NYCU fosters interdisciplinary collaboration, global partnerships, and aims to nurture professionals with strong academic foundations and leadership skills to address societal challenges and contribute to technological advancements.
Is Ground Truth Always Correct? An Explainable Analytics Ecosystem: Understanding Misjudgments for Enhancing Decision-makings in Medicine and Recommender Systems
Water Treatment Application to generate and prolong enhanced hydrogen retention time at stabilized long-term pH increase of drinking water
AI-Based Contact-Free Screening for Atrial Fibrillation Detection
Commissioned Project by Taiwan Institute of Sports Science – Development and Research of Taiwan Smart Pitching Machine
Technology maturity：Experiment stage
Exhibiting purpose：Display of scientific results
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