The DOI matches its Crossref record; 87 of the 87 references it cites were found in a registry or an index.
Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention
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Cites
Miyazaki, T., Wada, M., Kawahara, H., Sato, M., Baba, H., & Shimada, S. (2002) · Annals of the Rheumatic Diseases · doi:10.1136/ard.61.7.617 · Cited by 1,441
A Systematic Review of Healthcare Applications for Smartphones
Mosa, A. S. M., Yoo, I., & Sheets, L. (2012) · BMC Medical Informatics and Decision Making · doi:10.1186/1472-6947-12-67 · Cited by 1,184
A Review of Accelerometry-Based Wearable Motion Detectors for Physical Activity Monitoring
Yang, C.-C., & Hsu, Y.-L. (2010) · Sensors · doi:10.3390/s100807772 · Cited by 1,058
Swan, M. (2012) · Journal of Sensor and Actuator Networks · doi:10.3390/jsan1030217 · Cited by 934 · cited 2×
“Increasingly, individuals are joining societal movements such as quantified self [1], life log [2], and Sousveillance [3] and amassing large amounts of personal information through automated wearable systems.”
Mann, S., Nolan, J., & Wellman, B. (2002) · Surveillance & Society · doi:10.24908/ss.v1i3.3344 · Cited by 841
Gait Analysis Using a Shoe-Integrated Wireless Sensor System
Bamberg, S., Benbasat, A. Y., Scarborough, D. M., Krebs, D. E., & Paradiso, J. A. (2008) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2007.899493 · Cited by 737
Mayagoitia, R. E., Nene, A. V., & Veltink, P. H. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(01)00231-7 · Cited by 655
Assessment of Walking Features From Foot Inertial Sensing
Sabatini, A. M., Martelloni, C., Scapellato, S., & Cavallo, F. (2005) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2004.840727 · Cited by 650
A reliable gait phase detection system
Pappas, I. P. I., Popovic, M. R., Keller, T., Dietz, V., & Morari, M. (2001) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/7333.928571 · Cited by 495
A practical gait analysis system using gyroscopes
Tong, K., & Granat, M. H. (1999) · Medical Engineering & Physics · doi:10.1016/s1350-4533(99)00030-2 · Cited by 460
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Control strategies for active lower extremity prosthetics and orthotics: a review
Tucker, M. R., Olivier, J., Pagel, A., Bleuler, H., Bouri, M., Lambercy, O., Millán, J. D. R., Riener, R., Vallery, H., & Gassert, R. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-12-1 · Cited by 1,047
“A recent review has summarized the clinical impacts of wearable sensing and feedbac k technologies for normal and pathological gait [74], though the scope does not include their applic tion to P/O devices.”
BackgroundTechnology in Parkinson’s disease: challenges and opportunities
Espay, A. J., Bonato, P., Nahab, F. B., Maetzler, W., Dean, J. M., Klucken, J., Eskofier, B. M., Merola, A., Horak, F., Lang, A. E., et al. (2016) · Movement Disorders · doi:10.1002/mds.26642 · Cited by 654
Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion
Filippeschi, A., Schmitz, N., Miezal, M., Bleser, G., Ruffaldi, E., & Stricker, D. (2017) · Sensors · doi:10.3390/s17061257 · Cited by 361
Wearable sensor-based real-time gait detection: A systematic review
Prasanth, H., Caban, M., Keller, U., Courtine, G., Ijspeert, A., Vallery, H., & von Zitzewitz, J. (2021) · Sensors · doi:10.3390/s21082727 · Cited by 348
Haptic wearables as sensory replacement, sensory augmentation and trainer – a review
Shull, P. B., & Damian, D. D. (2015) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/s12984-015-0055-z · Cited by 245
Self-citation
Metadata
- Authors
- Shull, P. B., Jirattigalachote, W., Hunt, M. A., Cutkosky, M. R., & Delp, S. L.
- Venue
- Gait & Posture
- Publisher
- Elsevier BV
- Published
- 2014-05
- Volume
- 40
- Issue
- 1
- Pages
- 11-19
- ISSN
- 0966-6362 (ISSN-L)
- OpenAlex
- W2141318231
- Cited by
- 388
- References
- 87
- FWCI
- 76.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. https://app.cochat.ai/papers/10.1016/j.gaitpost.2014.03.189
- The paper
- Shull, P. B., Jirattigalachote, W., Hunt, M. A., Cutkosky, M. R., & Delp, S. L. (2014). Quantified self and human movement: A review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. Gait & Posture. https://doi.org/10.1016/j.gaitpost.2014.03.189
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.
