The course “Precision Healthy Longevity: Personalized Exercise and Smart Monitoring Program” aims to develop a data-driven and individualized approach to health promotion by integrating personalized health assessment, exercise prescription, and smart technology applications. As populations age and chronic diseases become increasingly prevalent, traditional “one-size-fits-all” approaches to health interventions are no longer sufficient. Therefore, this course emphasizes individual variability and utilizes exercise science and health data analytics to design tailored strategies that support long-term health and well-being. The course begins with an introduction to the concept of precision health, highlighting how individual health indicators—such as heart rate, blood pressure, body composition, and physical activity levels—can be used to assess health status and identify potential risks. Common health concerns, including metabolic syndrome, reduced muscle strength, and functional decline, are discussed to raise awareness of their impact on quality of life. Participants will engage in simple health assessments and functional fitness tests, such as lower-limb strength, balance, and mobility evaluations, to establish personal health baselines. In the practical component, the course focuses on personalized exercise prescription based on the FITT principle (Frequency, Intensity, Time, and Type). Exercise programs will be tailored according to individual goals, such as weight management, muscle strengthening, and fall prevention. The course also emphasizes movement quality and motor control, ensuring that participants learn proper movement patterns to maximize effectiveness and minimize injury risk. A key feature of the course is the integration of smart health technologies. Participants will be introduced to wearable devices, such as smartwatches and fitness trackers, as well as sensor-based systems like smart insoles. These technologies provide real-time data on physiological and activity-related parameters, including heart rate, step count, activity levels, and sleep quality. The course will guide participants on how to interpret these data and apply them to everyday health management. By incorporating self-regulation strategies, participants will learn to translate data feedback into actionable behaviors and sustainable lifestyle changes. Overall, the course adopts an interactive and practice-oriented approach, combining theoretical knowledge with hands-on experience. It aims to empower individuals with the ability to monitor, evaluate, and manage their own health through personalized strategies supported by modern technology.

Implemented by Department of Exercise and Health Sciences
Date: 2026/05/04