Toward Pervasive Gait Analysis With Wearable Sensors: A Systematic Review

By Shanshan Chen, John C. Lach, Benny P. L. Lo, Guang-Zhong Yang. IEEE journal of biomedical and health informatics, 2016

345 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Physical Therapy, Sports Therapy and Rehabilitation, Psychiatry and Mental health

View Paper: https://www.semanticscholar.org/paper/a450c8b4586bd5292297d21d1dc54fa6224e6f8f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Aimé Lay-Ekuakille
2. Satya Prakash Singh
3. Sukrit Gupta
4. Madan Kumar Sharma
5. Deepak Gangwar
6. Auke Jan Ijspeert

Citations in the corpus

• Deep ConvLSTM With Self-Attention for Human Activity Decoding Using Wearable Sensors (2020, background): “INTRODUCTION DECODING human activity has varied emerging applications for human wellbeing that include monitoring health [1], living condition [2], and daily activities [3], [4].”
• Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review (2021, background): “[20] performed a systematic review focusing particularly on quantifiable gait measures and tangible evaluation techniques that are based on wearable sensors, particularly inertial measurement units (IMU).”