TY - GEN
T1 - Extraction of parameters for 90-degree turn prediction using the imu-based motion capture system
AU - Ogawa, Ami
AU - Takeda, Kanako
AU - Mita, Akira
N1 - Publisher Copyright:
© 2021, Association of American Publishers. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Against the increasing number of single households, we have been proposing the “Biofied Building” that provides a safe, secure, and comfortable living space for a resident using a small home robot. The robot can be used for real-time sensing of the resident’s position and behavior. On the other hand, for further use of the robot, such as choosing a path that does not disturb the resident, a phase to predict the resident’s behavior is necessary. Walking, which is one of the most basic activities of daily living, is often targeted in studies of motion prediction. However, most of them deal with steady walking, even though walking in daily life includes unsteady walking such as the turning motion. Therefore, the purpose of this study was to extract the prediction parameters to construct a prediction method for the unsteady 90-degree turn. In this study, we explored the effective prediction parameters for 90-degree turns based on the measured data using the inertial measurement unit (IMU) based motion capture system aiming to introduce the prediction of unsteady walking to the “Biofied Building”.
AB - Against the increasing number of single households, we have been proposing the “Biofied Building” that provides a safe, secure, and comfortable living space for a resident using a small home robot. The robot can be used for real-time sensing of the resident’s position and behavior. On the other hand, for further use of the robot, such as choosing a path that does not disturb the resident, a phase to predict the resident’s behavior is necessary. Walking, which is one of the most basic activities of daily living, is often targeted in studies of motion prediction. However, most of them deal with steady walking, even though walking in daily life includes unsteady walking such as the turning motion. Therefore, the purpose of this study was to extract the prediction parameters to construct a prediction method for the unsteady 90-degree turn. In this study, we explored the effective prediction parameters for 90-degree turns based on the measured data using the inertial measurement unit (IMU) based motion capture system aiming to introduce the prediction of unsteady walking to the “Biofied Building”.
KW - 90-degree Turn
KW - IMU
KW - Motion Capture System
KW - Motion Prediction
UR - http://www.scopus.com/inward/record.url?scp=85103592377&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85103592377&partnerID=8YFLogxK
U2 - 10.21741/9781644901311-29
DO - 10.21741/9781644901311-29
M3 - Conference contribution
AN - SCOPUS:85103592377
SN - 9781644901304
T3 - Materials Research Proceedings
SP - 241
EP - 248
BT - Structural Health Monitoring - 8th Asia Pacific Workshop on Structural Health Monitoring, 8APWSHM 2020, proceedings
A2 - Rajic, N.
A2 - Veidt, M.
A2 - Mita, A.
A2 - Takeda, N.
A2 - Chiu, W.K.
PB - Association of American Publishers
T2 - 8th Asia-Pacific Workshop on Structural Health Monitoring, APWSHM 2020
Y2 - 9 December 2020 through 11 December 2020
ER -