Published on in Vol 7, No 10 (2019): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12335, first published .
Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach

Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach

Predicting Energy Expenditure During Gradient Walking With a Foot Monitoring Device: Model-Based Approach

Journals

  1. Seo M, Shin M, Park T, Park J. Clinometric Gait Analysis Using Smart Insoles in Patients With Hemiplegia After Stroke: Pilot Study. JMIR mHealth and uHealth 2020;8(9):e22208 View
  2. Kim S, Kim J, Chung H, Choi M. A least action principle for interceptive walking. Scientific Reports 2021;11(1) View
  3. Perrett T, Masullo A, Damen D, Burghardt T, Craddock I, Mirmehdi M. Personalized Energy Expenditure Estimation: Visual Sensing Approach With Deep Learning. JMIR Formative Research 2022;6(9):e33606 View

Books/Policy Documents

  1. Shukla A, Gupta P. Hybrid Materials for Piezoelectric Energy Harvesting and Conversion. View