Quantified self and human movement: a review on the clinical impact of wearable sensing and feedback for gait analysis and intervention.
By P. Shull, Wisit Jirattigalachote, M. Hunt, Mark R. Cutkosky, Scott L. Delp. Gait & Posture, 2014
386 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Endocrinology, Diabetes and Metabolism, Physical Therapy, Sports Therapy and Rehabilitation
View Paper: https://www.semanticscholar.org/paper/3d9829490be1fcd74d03dc1217e19c41ac8bd12d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Didier Stricker
- Anna Pagel
- José del R. Millán
- Emanuele Ruffaldi
- Alessandro Filippeschi
- Olivier Lambercy
- Norbert Schmitz
- Jeremy Olivier
In Physical Therapy, Sports Therapy and Rehabilitation
Citations in the corpus
- Control strategies for active lower extremity prosthetics and orthotics: a review (2015, background): “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.”
- Big data and tactical analysis in elite soccer: future challenges and opportunities for sports science (2016, background): “In this regard, quantified-self initiatives may also provide future opportunities to generate valuable data for scientific investigations (Appelboom ; Shull et al. 2014).”
- Survey of Motion Tracking Methods Based on Inertial Sensors: A Focus on Upper Limb Human Motion (2017, background): “[22] review wearable sensing systems applied to gait analysis in clinical settings.”
- Wearable Sensor-Based Real-Time Gait Detection: A Systematic Review (2021, background): “[22] Clinical impact of wearable sensing MEDLINE, Science Citation Index Expanded, CINAHL, Cochrane Not a systematic review, no review of gait detection methods 76”