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- Title
Mobility evaluation system based on anomaly detection using an exercise exoskeleton robot.
- Authors
Lee, C.; Kang, B. M.; Joo, S.; Kim, Y.; Kim, D. E.; Kim, G. J.; Lim, Y. M.
- Abstract
Purpose. An evaluation system of mobility can help check abnormal mobility and functional trajectories in aging processes. Moreover, an exercise exoskeleton robot has the potential to measure mobility function if it contains an appropriate evaluation system. It is because it provides ergonomic structural support allowing for sufficient limb movement with manipulating strength by power, and it already has its own sensor systems related to mobility (Wang et al., 2022). However, previous evaluation systems for mobility usually focus on a single feature of mobility, and some of them estimate mobility function based on no actual data but simulation data. Thus, this study aims to develop a multi-dimensional mobility evaluation system using an exercise exoskeleton robot based on actual data related to mobility among people in later life. Method. Participants were 20 people (10 men and 10 women) aged 56 to 74 without musculoskeletal disorders. They performed a walking test at a self-selected speed with wearing the GEMS-H exercise exoskeleton robot (Seo et al., 2016) without resistance. During the walking test, changes in motor joint angle, 9-axis Inertia Measurement Unit (IMU), and personal information (e.g., exercise performance score, weight, and gender) were recorded. There were four critical features of the multi-dimensional mobility function: balance, stability, flexibility, and power. The balance score was the symmetry between all the left and right of features. The flexibility meant the range of motion of the motor. The power was calculated as a relative value by integrating the acceleration of the motor and the subject's weight. Finally, the stability indicated the changes in the low frequency. After rectifying and regularizing raw values, we converted four features into each interpretable score based on physical modeling. Results and Discussion. We propose a mobility evaluation system based on anomaly detection with four indicators (balance, stability, flexibility, and power). The multi-dimensional gait data from the exercise exoskeleton robot and isokinetic exercise by walking are useful for creating the mobility evaluation system. All indicators (balance, stability, flexibility, and power) are relative values, but they are very suitable for measuring anomalies based on the data distribution collected by the same protocol. The present study is significant because it suggests a multi-dimensional mobility evaluation system for people in later life by using an exercise exoskeleton robot. However, additional studies are also needed to validate this emerging system with more generalized standard data.
- Subjects
SOUTH Korea; ROBOTIC exoskeletons; CONFERENCES &; conventions; ROBOTICS; PHYSICAL mobility; EXERCISE; OLD age
- Publication
Gerontechnology, 2022, Vol 21, p4
- ISSN
1569-1101
- Publication type
Article
- DOI
10.4017/gt.2022.21.s.793.4.sp2