Kinect-enabled home-based rehabilitation system using Dynamic Time Warping and fuzzy logic
Integrity signals
Registry
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Home-based rehabilitation allows individuals to tailor their program to meet their preferences and schedules.
“As an alternative to inpatient rehabilitation, home-based rehabilitation allows individuals to tailor their program to meet their preferences and schedules [3].”
From High-Tech Home-Based Rehabilitation after Stroke: A Systematic Review and Meta-Analysis (2023) · cites this paper as [3]
Cited by
Sorted by citations
Learning to assess the quality of stroke rehabilitation exercises
Lee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Badia, S. B. I. (2019) · Proceedings of the 24th International Conference on Intelligent User Interfaces · doi:10.1145/3301275.3302273 · Cited by 71 · see citing works
Lee, M. H., Siewiorek, D. P., Smailagic, A., Bernardino, A., & Bermúdez i Badia, S. (2020) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3415227 · Cited by 57 · see citing works
High-Tech Home-Based Rehabilitation after Stroke: A Systematic Review and Meta-Analysis
Bok, S.-K., Song, Y., Lim, A., Jin, S., Kim, N., & Ko, G. (2023) · Journal of Clinical Medicine · doi:10.3390/jcm12072668 · Cited by 20 · see citing works
“With recent advances in technology and the increasing preference for virtual consultations due to the coronavirus disease 2019 (COVID-19), homebased virtual technologies are adapting to promote functional abilities [3,5].”
Background
- Authors
- Su, C.-J., Chiang, C.-Y., & Huang, J.-Y.
- Affiliations
- Yuan Ze University (TW)
- Corresponding author
- Su, Chuan-Jun
- ORCID
- Su, Chuan-Jun
- Venue
- Applied Soft Computing
- Publisher
- Elsevier BV
- Published
- 2014-09
- Volume
- 22
- Pages
- 652-666
- ISSN
- 1568-4946 (ISSN-L)
- OpenAlex
- W1985745673
- Cited by
- 149
- References
- 0
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 7 · 2023: 12 · 2022: 8 · 2021: 12 · 2020: 13 · 2019: 15 · 2018: 21 · 2017: 14 · 2016: 16 · 2015: 13 · 2014: 1
- FWCI
- 13.12
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Applied Soft Computing (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Context-Aware Activity Recognition Systems
- Health Sciences › Medicine › Rehabilitation › Stroke Rehabilitation and Recovery
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Medical Practices and Rehabilitation
- Keywords
- home-based rehabilitation, Kinect sensor, dynamic time warping, fuzzy logic, occupational therapy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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