2021 Volume 6 Issue 2 Pages 16-20
This paper proposes a smart welfare interactive service system that can collect the body parameters/conditions (e.g., height, weight, gender, age and medical history), motion parameters (e.g., step length, walking velocity, walking time and walk score) and usage status of assistive devices is proposed. The system provides the information for assistive devices or improving living environment based on elderly people’s physical ability. In this paper, the authors investigated the optimum grip height and assist modes of a robot assist walker, which is an electrically assisted walking support device with elderly subjects who can walk independently. Body composition for all subjects were measured by the body composition monitor (inner scan 50V BC-622, TANITA Corp.). The 10-m walking test was conducted to evaluate the walking ability, and time and number of steps were measured. The results indicated that the system was able to provide feedback of the optimum grip height and assist mode for the user with their body information based on the evaluation database.