An IoT system that allows geneticists, nutritionists, clinicians and exercise physiologists to work together remotely encourages middle-aged and elderly people to train using Interval Walking Training, in accordance to their individual peak aerobic capacity, greatly improving their physical fitness and lifestyle-related disease prognosis.
A common notion is to walk 10,000 steps a day to improve ones’ physical fitness, so pedometers have been a popular wearable health device from before the days of fitness trackers and smartphones. However, simply walking 10,000 steps does not improve physical fitness or improve lifestyle-related illnesses. The international standard of improving physical fitness is to measure the maximum oxygen intake and to have the individual work at more than 60% of that. Interval training uses an individuals’ peak aerobic capacity to efficiently and effectively improve physical fitness. However, this requires going to the gym and training with a machine on a regular basis, which is both time consuming and costly. Therefore, a team at Shinshu University led by Dr. Shizue Masuki who was a part of Dr. Hiroshi Nose’s group (also of Shinshu University and corresponding author of this study) that developed Interval walking training (IWT) in an earlier study set out to see whether physical fitness could be easily determined and exercise intensity during training could be continuously monitored in the field without going to the gym.
The team developed a training system using the internet of things (IoT) to motivate and track the exercise intensity levels of the trainees. The team found that with five months of training, a group with an average age of 63 were able to increase their physical fitness back to a level 10 years younger than they previously scored before the exercise protocol.