Tag: multimodal data
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Evaluation Strategies for LLM-Based Exercise and Health Coaching: A Scoping Review
Introduction Large language models (LLMs) promise to transform exercise and health coaching by delivering personalized training plans, real-time feedback, and motivational support. Yet translating this potential into safe, effective practice requires rigorous evaluation that can handle multimodal inputs—text reports, video-based posture analysis, and physiological sensor data—while ensuring safety and personalization. This scoping review maps the…
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Evaluation Strategies for LLM-Based Exercise & Health Coaching: A Scoping Review
Introduction Large language models (LLMs) hold promise for personalized exercise and health coaching, offering capabilities from adaptive training plan generation to real-time movement feedback and motivational support. Yet translating potential into safe, effective practice requires robust evaluation across multimodal data streams (text reports, posture analysis, sensor data) and personalized outcomes. This scoping review summarizes how…
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New Advances in Wearables Boost Cough Detection for Health Monitoring
Overview: Why Cough Detection Matters in Wearables As wearable health devices become more capable, researchers are refining an essential function: detecting when a person coughs. Cough frequency is a valuable biomarker for chronic respiratory conditions, asthma management, and overall health trends. Accurate cough detection can help patients monitor disease progression, predict attacks, and decide when…