A reliable gait phase detection system

By I. Pappas, Milos R. Popovic, Thierry Keller, Volker Dietz, M. Morari. IEEE transactions on neural systems and rehabilitation engineering, 2001

523 citations recorded by the source corpus.

Subfields: Biomedical Engineering

View Paper: https://www.semanticscholar.org/paper/ddccd9c5111dc8197140270bb7411729b659f601

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In Biomedical Engineering

Citations in the corpus

Gait Analysis Using a Shoe-Integrated Wireless Sensor System (2008, background): “For diabetics, Morley et al. [8] and Maluf et al. [9] developed an insole-based system to quantify the conditions inside the shoe, to predict the progression of skin breakdown and ulceration in diabetic patients with peripheral neuropathy.”
Assessment of walking features from foot inertial sensing (2005, methodology): “2 is very similar to that reported in [2].”
Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention. (2014, background): “Simple systems involving a single accelerometer or a foot switch have been used to detect various spatiotemporal parameters such as step count, stride length, cadence, and walking speed [8–11], while more complex systems have been created with arrays of accelerometers, gyroscopes, and magnetometers ”
Gait recognition: a challenging signal processing technology for biometric identification (2005, unknown): “peripheral nerves [35] to achieve natural walking.”
Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review (2021, methodology): “Furthermore, a direct quantitative comparison between [57] and [72] would be questionable since the data-set used by the former involved both unimpaired and impaired gait while the one used by the latter only involved unimpaired subjects walking on treadmill.”
Advanced internet of things for personalised healthcare systems: A survey (2017, background): “Applying both inertial sensors also enable accurately detecting a specific type of human motion and behaviors, such as bend knees, descend stairs [11], ascend stairs or turning [59].”
Activity recognition using a single accelerometer placed at the wrist or ankle (2013, background): “Further, the ankle placement site may be particularly useful for pedestrian navigation and gait analysis purposes (24), such as gait segmentation (19) or walking speed estimation (15).”
Gait Analysis Using Wearable Sensors (2012, background): “For example, the onset of stance has customarily been called the heel strike [30,31].”