The DOI matches its Crossref record; 15 of the 15 references it cites were found in a registry or an index.
Smart Insole: A Wearable Sensor Device for Unobtrusive Gait Monitoring in Daily Life
Abstract
Gait analysis is an important medical diagnostic process and has many applications in healthcare, rehabilitation, therapy, and exercise training. However, typical gait analysis has to be performed in a gait laboratory, which is inaccessible for a large population and cannot provide natural gait measures. In this paper, we present a novel sensor device, namely, Smart Insole, to tackle the challenge of efficient gait monitoring in real life. An array of electronic textile (eTextile)-based pressure sensors are integrated in the insole to fully measure the plantar pressure. Smart Insole is also equipped with a low-cost inertial measurement unit including a three-axis accelerometer, a three-axis gyroscope, and a three-axis magnetometer to capture the gait characteristics in motion. Smart Insole can offer precise acquisition of gait information. Meanwhile, it is lightweight, thin, and comfortable to wear, providing an unobtrusive way to perform the gait monitoring. Furthermore, a smartphone graphic user interface is developed to display the sensor data in real-time via Bluetooth low energy. We perform a set of experiments in four real-life scenes including hallway walking, ascending/descending stairs, and slope walking, where gait parameters and features are extracted. Finally, the limitation and improvement, wearability and usability, further work, and healthcare-related potential applications are discussed.
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Cites
Spatio-temporal parameters of gait measured by an ambulatory system using miniature gyroscopes
Aminian, K., Najafi, B., Büla, C., Leyvraz, P.-F., & Robert, P. (2002) · Journal of Biomechanics · doi:10.1016/s0021-9290(02)00008-8 · Cited by 814
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
Accurate, Fast Fall Detection Using Gyroscopes and Accelerometer-Derived Posture Information
Li, Q., Stankovic, J. A., Hanson, M. A., Barth, A. T., Lach, J., & Zhou, G. (2009) · 2009 Sixth International Workshop on Wearable and Implantable Body Sensor Networks · doi:10.1109/bsn.2009.46 · Cited by 584
Simon, S. R. (2004) · Journal of Biomechanics · doi:10.1016/j.jbiomech.2004.02.047 · Cited by 570
In-Shoe Plantar Pressure Measurement and Analysis System Based on Fabric Pressure Sensing Array
Shu, L., Hua, T., Wang, Y., Li, Q., Feng, D. D., & Tao, X. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2009.2038904 · Cited by 416
Manufactured Shoes in the Prevention of Diabetic Foot Ulcers
Uccioli, L., Faglia, E., Monticone, G., Favales, F., Durola, L., Aldeghi, A., Quarantiello, A., Calia, P., & Menzinger, G. (1995) · Diabetes Care · doi:10.2337/diacare.18.10.1376 · Cited by 355
A Gait Monitoring System Based on Air Pressure Sensors Embedded in a Shoe
Kong, K., & Tomizuka, M. (2009) · IEEE/ASME Transactions on Mechatronics · doi:10.1109/tmech.2008.2008803 · Cited by 301
The Pedar® in-shoe system: Repeatability and normal pressure values
Putti, A. B., Arnold, G. P., Cochrane, L., & Abboud, R. J. (2007) · Gait & Posture · doi:10.1016/j.gaitpost.2006.05.010 · Cited by 272
Monitoring of Posture Allocations and Activities by a Shoe-Based Wearable Sensor
Sazonov, E. S., Fulk, G., Hill, J., Schutz, Y., & Browning, R. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2046738 · Cited by 238
Kinetic Gait Analysis Using a Low-Cost Insole
Howell, A. M., Kobayashi, T., Hayes, H. A., Foreman, K. B., & Bamberg, S. J. M. (2013) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2013.2250972 · Cited by 207
Cited by
A Survey of Healthcare Internet of Things (HIoT): A Clinical Perspective
Habibzadeh, H., Dinesh, K., Rajabi Shishvan, O., Boggio-Dandry, A., Sharma, G., & Soyata, T. (2020) · IEEE Internet of Things Journal · doi:10.1109/jiot.2019.2946359 · Cited by 417
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
Hulleck, A. A., Menoth Mohan, D., Abdallah, N., El Rich, M., & Khalaf, K. (2022) · Frontiers in Medical Technology · doi:10.3389/fmedt.2022.901331 · Cited by 281
Metadata
- Authors
- Lin, F., Wang, A., Zhuang, Y., Tomita, M. R., & Xu, W.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2016-12
- Volume
- 12
- Issue
- 6
- Pages
- 2281-2291
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W2552313070
- Cited by
- 265
- References
- 15
- FWCI
- 8.06
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lin, F., Wang, A., Zhuang, Y., Tomita, M. R., & Xu, W. (2016). Smart Insole: A Wearable Sensor Device for Unobtrusive Gait Monitoring in Daily Life. IEEE Transactions on Industrial Informatics. https://doi.org/10.1109/tii.2016.2585643
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