The DOI matches its Crossref record.
Intention-Based Walking Support for Paraplegia Patients with Robot Suit HAL
Open accessAbstract
This paper proposes an algorithm to estimate human intentions related with walking in order to comfortably and safely support a paraplegia patient's walk.A robot suit "HAL" has been developed for an enhancement of healthy person's activities and for support of physically challenged person's daily life.Assisting method based on bioelectrical signals such as myoelectricity successfully supports healthy person's walking.These bioelectrical signals, however, cannot be measured properly from a paraplegia patient.Therefore another interface that can estimate patients' intentions without any manual controller are desired for robot control since a manual controller deprives a patient of his/her hands' freedom.Estimation of patients' intentions contributes to support not only comfortably but also safely, because an inconformity between the robot suit motion and the patient motion results in his/her stumbling or falling.The proposed algorithm, therefore, estimates patient's intentions from a floor reaction force reflecting patient's weight shift during walking and standing.The effectiveness of this algorithm is investigated through experiments on a paraplegia patient who has a sensory paralysis on both legs, especially his left leg.We show that HAL supports patient's walk properly, estimating his intentions based on floor reaction force.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Recent developments and challenges of lower extremity exoskeletons
Chen, B., Ma, H., Qin, L.-Y., Gao, F., Chan, K.-M., Law, S.-W., Qin, L., & Liao, W.-H. (2016) · Journal of Orthopaedic Translation · doi:10.1016/j.jot.2015.09.007 · Cited by 501
Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art
Huo, W., Mohammed, S., Moreno, J. C., & Amirat, Y. (2016) · IEEE Systems Journal · doi:10.1109/jsyst.2014.2351491 · Cited by 455
Preliminary Evaluation of a Powered Lower Limb Orthosis to Aid Walking in Paraplegic Individuals
Farris, R. J., Quintero, H. A., & Goldfarb, M. (2011) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2011.2163083 · Cited by 342
Sit-to-stand and stand-to-sit transfer support for complete paraplegic patients with robot suit HAL
Tsukahara, A., Kawanishi, R., Hasegawa, Y., & Sankai, Y. (2010) · Advanced Robotics · doi:10.1163/016918610x512622 · Cited by 269
Self-citationA survey of sensor fusion methods in wearable robotics
Novak, D., & Riener, R. (2015) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2014.08.012 · Cited by 252
Metadata
- Authors
- Suzuki, K., Mito, G., Kawamoto, H., Hasegawa, Y., & Sankai, Y.
- Venue
- Climbing and Walking Robots
- Publisher
- InTech
- Published
- 2010-03-01
- DOI
- 10.5772/8835
- OpenAlex
- W2114570024
- Cited by
- 400
- References
- 0
- FWCI
- 114.55
- Type
- book chapter
- Language
- en
- Open access
- hybrid
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Intention-Based Walking Support for Paraplegia Patients with Robot Suit HAL. https://app.cochat.ai/papers/10.5772/8835
- The paper
- Suzuki, K., Mito, G., Kawamoto, H., Hasegawa, Y., & Sankai, Y. (2010). Intention-Based Walking Support for Paraplegia Patients with Robot Suit HAL. Climbing and Walking Robots. https://doi.org/10.5772/8835
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.