TY - GEN
T1 - Development of Kinect-based Upper-Limb Assistance Device for the Motions of Activities of Daily Living
AU - Liao, Yun Ting
AU - Zong, Chi Hang
AU - Lee, Hee Hyol
AU - Tanaka, Eiichiro
PY - 2019/1/14
Y1 - 2019/1/14
N2 - There are many people around the world who cannot raise their arms by themselves due to the diseases or accidents, even though they can control their fingers. It will make the patients lose the function of activities of daily living (ADL) of upper-limb. In our previous research, an upper-limb assistance device had been proposed, which can be controlled by several control interfaces. However, those control interfaces require the users to operate by the other hand. According to the object position, the upper-limb motions do not have a certain trajectory. In this article, we focused on developing a Kinect-based upper-limb assistance device. We proposed the motion detection system based on Microsoft Kinect 2 to detect the human motion, and further control the device and assist the user's upper limb. Based on the human intention, the assistive motions can be realized without preprogrammed trajectories. The motions of the device and user were confirmed by the simulation and experiment. By using the system, the users may overcome several motions in ADL without the preprogrammed trajectories.
AB - There are many people around the world who cannot raise their arms by themselves due to the diseases or accidents, even though they can control their fingers. It will make the patients lose the function of activities of daily living (ADL) of upper-limb. In our previous research, an upper-limb assistance device had been proposed, which can be controlled by several control interfaces. However, those control interfaces require the users to operate by the other hand. According to the object position, the upper-limb motions do not have a certain trajectory. In this article, we focused on developing a Kinect-based upper-limb assistance device. We proposed the motion detection system based on Microsoft Kinect 2 to detect the human motion, and further control the device and assist the user's upper limb. Based on the human intention, the assistive motions can be realized without preprogrammed trajectories. The motions of the device and user were confirmed by the simulation and experiment. By using the system, the users may overcome several motions in ADL without the preprogrammed trajectories.
UR - http://www.scopus.com/inward/record.url?scp=85062077544&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062077544&partnerID=8YFLogxK
U2 - 10.1109/CBS.2018.8612155
DO - 10.1109/CBS.2018.8612155
M3 - Conference contribution
AN - SCOPUS:85062077544
T3 - 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
SP - 222
EP - 227
BT - 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Cyborg and Bionic Systems, CBS 2018
Y2 - 25 October 2018 through 27 October 2018
ER -