TY - GEN
T1 - Prototype Robotic Devices for Continuously Measuring Long-Distance Human Gait
AU - Ogata, Kunihiro
AU - Nagai, Mio
AU - Yamamoto, Shinichiro
AU - Kawashima, Noritake
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1
Y1 - 2020/1
N2 - Human gait function can decrease due to disability or aging. The elderly and persons with disabilities need walking training or assistance using a device, which require appropriate selection of methods for evaluating walking function. This study aimed at continuously measuring human walking motion over long distances. The proposed system moves a measurement device that can estimate human posture to enable to continuous measurements of human walking motion. Therefore, the proposed system consists of a measurement device and sensors or a robot that can measure the travel distance of the measurement device. We proposed two systems for the required applications. A manually moved device, consisting of a color depth sensor and a wheel equipped with a rotary encoder, measured patients with relatively high walking function. We also developed a robot that can automatically track subjects to measure patients with low gait function while the therapist supports the patient. Evaluation experiments on the developed systems confirm 7-9° error in joint angle estimations. Moreover, we find that the developed systems are susceptible to vibration.
AB - Human gait function can decrease due to disability or aging. The elderly and persons with disabilities need walking training or assistance using a device, which require appropriate selection of methods for evaluating walking function. This study aimed at continuously measuring human walking motion over long distances. The proposed system moves a measurement device that can estimate human posture to enable to continuous measurements of human walking motion. Therefore, the proposed system consists of a measurement device and sensors or a robot that can measure the travel distance of the measurement device. We proposed two systems for the required applications. A manually moved device, consisting of a color depth sensor and a wheel equipped with a rotary encoder, measured patients with relatively high walking function. We also developed a robot that can automatically track subjects to measure patients with low gait function while the therapist supports the patient. Evaluation experiments on the developed systems confirm 7-9° error in joint angle estimations. Moreover, we find that the developed systems are susceptible to vibration.
UR - http://www.scopus.com/inward/record.url?scp=85082583767&partnerID=8YFLogxK
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U2 - 10.1109/SII46433.2020.9026209
DO - 10.1109/SII46433.2020.9026209
M3 - Conference contribution
AN - SCOPUS:85082583767
T3 - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
SP - 1199
EP - 1204
BT - Proceedings of the 2020 IEEE/SICE International Symposium on System Integration, SII 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE/SICE International Symposium on System Integration, SII 2020
Y2 - 12 January 2020 through 15 January 2020
ER -