Abstract
In this paper, dual-task performance assessment robot (DAR) using projection is developed. Falling is a common problem in the growing elderly population. Fall-risk assessment systems have proven to be helpful in community-based fall prevention programs. One of the risk factors of falling is the deterioration of a person's dual-task performance. For example, gait training, which enhances both motor and cognitive functions, is a multi-target stepping task (MTST), in which participants step on assigned colored targets. To evaluate the dual-task performance during MTST in human living space, projection mapping and robot navigation to maintain a safe distance from the participant are key technologies. Projection mapping is used to evaluate the long-distance dual-task performance, where MTST images are displayed on the floor by the moving DAR. To evaluate the accuracy of the projected target position, experiments for MTST projection using the moving DAR and video analysis are carried out. Additionally, to verify the validity of the MTST by the moving DAR at a constant speed, experiments with several young participants are carried out.
| Original language | English |
|---|---|
| Title of host publication | IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 6929-6934 |
| Number of pages | 6 |
| Volume | 2017-September |
| ISBN (Electronic) | 9781538626825 |
| DOIs | |
| Publication status | Published - 2017 Dec 13 |
| Event | 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 - Vancouver, Canada Duration: 2017 Sep 24 → 2017 Sep 28 |
Other
| Other | 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2017 |
|---|---|
| Country | Canada |
| City | Vancouver |
| Period | 17/9/24 → 17/9/28 |
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ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Computer Vision and Pattern Recognition
- Computer Science Applications
Cite this
Dual-task performance assessment robot. / Yorozu, Ayanori; Tanigawa, Ayumi; Takahashi, Masaki.
IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems. Vol. 2017-September Institute of Electrical and Electronics Engineers Inc., 2017. p. 6929-6934 8206617.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Dual-task performance assessment robot
AU - Yorozu, Ayanori
AU - Tanigawa, Ayumi
AU - Takahashi, Masaki
PY - 2017/12/13
Y1 - 2017/12/13
N2 - In this paper, dual-task performance assessment robot (DAR) using projection is developed. Falling is a common problem in the growing elderly population. Fall-risk assessment systems have proven to be helpful in community-based fall prevention programs. One of the risk factors of falling is the deterioration of a person's dual-task performance. For example, gait training, which enhances both motor and cognitive functions, is a multi-target stepping task (MTST), in which participants step on assigned colored targets. To evaluate the dual-task performance during MTST in human living space, projection mapping and robot navigation to maintain a safe distance from the participant are key technologies. Projection mapping is used to evaluate the long-distance dual-task performance, where MTST images are displayed on the floor by the moving DAR. To evaluate the accuracy of the projected target position, experiments for MTST projection using the moving DAR and video analysis are carried out. Additionally, to verify the validity of the MTST by the moving DAR at a constant speed, experiments with several young participants are carried out.
AB - In this paper, dual-task performance assessment robot (DAR) using projection is developed. Falling is a common problem in the growing elderly population. Fall-risk assessment systems have proven to be helpful in community-based fall prevention programs. One of the risk factors of falling is the deterioration of a person's dual-task performance. For example, gait training, which enhances both motor and cognitive functions, is a multi-target stepping task (MTST), in which participants step on assigned colored targets. To evaluate the dual-task performance during MTST in human living space, projection mapping and robot navigation to maintain a safe distance from the participant are key technologies. Projection mapping is used to evaluate the long-distance dual-task performance, where MTST images are displayed on the floor by the moving DAR. To evaluate the accuracy of the projected target position, experiments for MTST projection using the moving DAR and video analysis are carried out. Additionally, to verify the validity of the MTST by the moving DAR at a constant speed, experiments with several young participants are carried out.
UR - http://www.scopus.com/inward/record.url?scp=85041943608&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85041943608&partnerID=8YFLogxK
U2 - 10.1109/IROS.2017.8206617
DO - 10.1109/IROS.2017.8206617
M3 - Conference contribution
AN - SCOPUS:85041943608
VL - 2017-September
SP - 6929
EP - 6934
BT - IROS 2017 - IEEE/RSJ International Conference on Intelligent Robots and Systems
PB - Institute of Electrical and Electronics Engineers Inc.
ER -