Personal customizing exercise with a wearable measurement and control unit.
BACKGROUND
Recently, wearable technology has been used in various health-related fields to develop advanced monitoring solutions. However, the monitoring function alone cannot meet all the requirements of customizing machine-based exercise on an individual basis by relying on biosignal-based controls. We propose a new wearable unit design equipped with measurement and control functions to support the customization process.


METHODS
The wearable unit can measure the heart rate and electromyogram signals during exercise performance and output workload control commands to the exercise machines. The workload is continuously tracked with exercise programs set according to personally customized workload patterns and estimation results from the measured biosignals by a fuzzy control method. Exercise programs are adapted by relying on a computer workstation, which communicates with the wearable unit via wireless connections. A prototype of the wearable unit was tested together with an Internet-based cycle ergometer system to demonstrate that it is possible to customize exercise on an individual basis.


RESULTS
We tested the wearable unit in nine people to assess its suitability to control cycle ergometer exercise. The results confirmed that the unit could successfully control the ergometer workload and continuously support gradual changes in physical activities.


CONCLUSIONS
The design of wearable units equipped with measurement and control functions is an important step towards establishing a convenient and continuously supported wellness environment.
Wang
Zhihui
Z
Graduate School of Science and Technology, Niigata University, Niigata 950-2181, Japan. wzh@bsp.bc.niigata-u.ac.jp
Kiryu
Tohru
T
Tamura
Naoki
N
D001185:Artificial Intelligence; D004867:Equipment Design; D015444:Exercise / Q000502:physiology*; D005080:Exercise Test / Q000295:instrumentation / Q000379:methods; D006339:Heart Rate / Q000502:physiology; D006801:Humans; D008297:Male; D008991:Monitoring, Physiologic / Q000295:instrumentation* / Q000379:methods*; D010809:Physical Fitness; D012815:Signal Processing, Computer-Assisted / Q000295:instrumentation; D014584:User-Computer Interface; D055815:Young Adult