Aging usually results in a decline in motor function. However, the elderly tend to refuse the regular health examination because of travel issues or lack of self-health awareness. Examination unit also has difficulty to intensively track and instant feedback on the health status of the elderly due to insufficient manpower. If the elderly go to the hospital only when the health problem is getting worse, his/her health is often irreversible and the cost of medical care would be increased. It is therefore an essential issue for the early detection of functional changes in the elderly to prevent the deterioration of the health and function. Currently, the telemedicine cares provided by hospitals are not universal due to the out-of-date legislation and non-successful business model. The wearing and operation issues of the wearable devices used for health management are still a gap affecting the acceptance of the elderly. Accordingly, the objective of this project is to develop a handy and easy-to-use smart physical examination system for the elderly. With the use of motion-sensing and big data analysis technology, the non-contact professional and intelligent assessment could simplify the general health checkup procedures to promote the health management and to reduce the manpower cost of health care. The ultimate goal is to realize a commercial product aiming at the silver hair market with functional advantages to meet the unmet needs of health management in the elderly.
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Balance performance
Timeframe: 2 minutes
Fitness
Timeframe: 2 minutes
Lower extremity function
Timeframe: 2 minutes
Muscle force
Timeframe: 2 minutes
Endurence
Timeframe: 2 minutes
Questionaire
Timeframe: 5 minutes