Senshi Fukashiro
Biographic Data
| ID | 1754166 |
|---|---|
| NAME | Senshi Fukashiro |
| GIVEN NAMES | Senshi |
| FAMILY NAME | Fukashiro |
| SIGNATURE | FUKASHIRO S |
| AFFILIATIONS | Japan Women's College of Physical Education |
| ORCID | 0000-0001-9700-5390 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 7 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 1 |
Explaining “What for” in Motion Analysis Research
In motion analysis research, the methodology for estimating the physical processes of human movement is highly developed, but the methodology for interpreting such data is relatively undeveloped. One of the aims of this paper is to demonstrate the importance of developing a conceptual basis for interpreting data about the physical processes of body movement. In this conceptual study, one topic was discussed as a central question: what it means to…
Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…
Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…
Evaluation of 3D Markerless Motion Capture Accuracy Using OpenPose With Multiple Video Cameras
There is a need within human movement sciences for a markerless motion capture system, which is easy to use and sufficiently accurate to evaluate motor performance. This study aims to develop a 3D markerless motion capture technique, using OpenPose with multiple synchronized video cameras, and examine its accuracy in comparison with optical marker-based motion capture. Participants performed three motor tasks (walking, countermovement jumping, an…
Explaining “What for” in Motion Analysis Research
In motion analysis research, the methodology for estimating the physical processes of human movement is highly developed, but the methodology for interpreting such data is relatively undeveloped. One of the aims of this paper is to demonstrate the importance of developing a conceptual basis for interpreting data about the physical processes of body movement. In this conceptual study, one topic was discussed as a central question: what it means to…
Artificial Intelligence (2 works) · Computer Science (2 works) · Advanced Vision and Imaging (1 work) · Causation (1 work) · Cognitive psychology (1 work) · Computer graphics (images (1 work) · Computer vision (1 work) · Counterfactual thinking (1 work) · Engineering (1 work) · Epistemology (1 work)