Abstract
This paper presents an integrated multiscopic cyber-physical-social system (CPSS) for evaluating physical and cognitive aspects in an independent block-design test (BDT). First, we utilize a hand tracker to extract physical features at the microscopic level, such as hand posture during manipulation. Second, an egocentric vision incorporating an eye tracker describes perceptual representation at the mesoscopic level. This system represents hand-eye coordination by measuring the distance between the hand and the center of visual attention during the test. Thirdly, an upper table vision system uses color feature recognition in each block to evaluate cognition at the macroscopic level. This system detects the blocks and recognizes that the design matches the task given. By evaluating eight designs of WAIS-IV BDT, our system has demonstrated its ability to measure physical and cognitive variables during the BDT successfully. Additional research and development are required to support BDT development in the future. Code and datasets are available online at https://github.com/anom-tμbdt-multiscopic.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 |
| Publisher | IEEE Computer Society |
| Pages | 476-482 |
| Number of pages | 7 |
| ISBN (Electronic) | 9798350303780 |
| DOIs | |
| State | Published - 2023 |
| Externally published | Yes |
| Event | 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 - Adelaide, Australia Duration: 9 Jul 2023 → 11 Jul 2023 |
Publication series
| Name | Proceedings - International Conference on Machine Learning and Cybernetics |
|---|---|
| ISSN (Print) | 2160-133X |
| ISSN (Electronic) | 2160-1348 |
Conference
| Conference | 2023 International Conference on Machine Learning and Cybernetics, ICMLC 2023 |
|---|---|
| Country/Territory | Australia |
| City | Adelaide |
| Period | 9/07/23 → 11/07/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
Keywords
- Hand-eye Coordination
- Kohs Blocks test
- Self-rehabilitation
- Visual Attention
ASJC Scopus subject areas
- Artificial Intelligence
- Computational Theory and Mathematics
- Computer Networks and Communications
- Human-Computer Interaction