TY - GEN
T1 - Consistency verification of marker-less gait assessment system for stair walking
AU - Ogawa, Ami
AU - Yorozu, Ayanori
AU - Mita, Akira
AU - Takahashi, Masaki
AU - Georgoulas, Christos
AU - Bock, Thomas
N1 - Funding Information:
This work was supported by JSPS KAKENHI Grant-in-Aid for Scientific Research Grant Number 15H02890, and in part by MEXT Grant-in-Aid for the “Program for Leading Graduate Schools”.
Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - The number of elderly people is drastically increasing. To support them, the gait information is under the spotlight since it has the relationship between the fall risk and dementia. Among other scenarios, a relatively higher level of ability is needed for the stair walking as it requires balancing and loading. Conventionally, 3D motion capture devices have been used to acquire the parameters of stair walking. However, it is difficult to acquire daily parameters as the equipment needs complicated preparation and body-worn markers. In this study, we propose a system which can acquire daily stair walking parameters using only depth data obtained by Kinect v2 without restraining by markers. We confirmed the accuracy of our proposed system compared with a 3D motion capture system.
AB - The number of elderly people is drastically increasing. To support them, the gait information is under the spotlight since it has the relationship between the fall risk and dementia. Among other scenarios, a relatively higher level of ability is needed for the stair walking as it requires balancing and loading. Conventionally, 3D motion capture devices have been used to acquire the parameters of stair walking. However, it is difficult to acquire daily parameters as the equipment needs complicated preparation and body-worn markers. In this study, we propose a system which can acquire daily stair walking parameters using only depth data obtained by Kinect v2 without restraining by markers. We confirmed the accuracy of our proposed system compared with a 3D motion capture system.
KW - Depth data
KW - Kinect v2
KW - Marker-less gait measurement
KW - Stair walking
KW - VICON
UR - http://www.scopus.com/inward/record.url?scp=84973904812&partnerID=8YFLogxK
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U2 - 10.1007/978-3-319-31744-1_57
DO - 10.1007/978-3-319-31744-1_57
M3 - Conference contribution
AN - SCOPUS:84973904812
SN - 9783319317434
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 653
EP - 663
BT - Bioinformatics and Biomedical Engineering - 4th International Conference, IWBBIO 2016, Proceedings
A2 - Ortuno, Francisco
A2 - Rojas, Ignacio
PB - Springer Verlag
T2 - 4th International Work-Conference on Bioinformatics and Biomedical Engineering, IWBBIO 2016
Y2 - 20 April 2016 through 22 April 2016
ER -