Abstract
Exercise is good for health, quality of life, and maintenance of human muscles. Dumbbells are popular indoor exercise equipment with several benefits such as low cost, high flexibility in space and time, easy operation, and suitability for people of all ages. Facilitated by advances in the Internet of Things, smart dumbbells that provide automatic counting and motion monitoring functions have been developed. To perform these tasks, the key process is identification of exercise mode. This study proposes a method to identify essential muscle groups’ (biceps, triceps, and deltoids) exercise modes of a dumbbell using an inertial measurement unit to provide three-axis angular velocities and accelerations. The motion angles were estimated from the axial acceleration and angular velocity. Phase diagrams and time plots of the axial angle, angular velocity, and acceleration were used to extract significant features of each exercise. Machine Learning and weighting functions were developed to combine these features into an identification index value for accurate identification and classification of the exercise modes. An algorithm was developed to verify the exercise mode identification. The results show that the proposed method and weighting function can successfully identify the six exercise modes. The identification algorithm was 99.5% accurate. The exercise mode identification of the dumbbell is confirmed.
Highlights
Physical exercise is important for the human immune system and can help to reduce a person’s risk of infection
Some experts pointed out that high physical exercise was associated with favorable results for most health-related quality of life scale scores, including disability, frailty, and exhaustion, in dialysis patients [6]
From the properties of the accelerometer and gyroscope, we focus on movement from different modes with regard to acceleration and gyroscope behavior in different axes and values
Summary
Physical exercise is important for the human immune system and can help to reduce a person’s risk of infection. It may prevent bacterial infections of the lungs that result in diseases such as cold, flu, and others [1,2]. Human data show that during each exercise bout, transient immune changes occurred that over time may improve immunosurveillance against pathogens, thereby reducing upper respiratory tract infection [3,4]. Catching up with the trend, Xiaomi has successfully developed Smart Dumbbells and commercialized the market. This product only guides people to practice according to the preset program available in the application
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