Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Monday, March 11, 2019 at 4:00 PM to 4:30 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Citing this Article

Right click to copy or hit: ctrl+c (cmd+c on mac)

Published on 04.08.17 in Vol 5, No 8 (2017): August

This paper is in the following e-collection/theme issue:

Works citing "Feature-Free Activity Classification of Inertial Sensor Data With Machine Vision Techniques: Method, Development, and Evaluation"

According to Crossref, the following articles are citing this article (DOI 10.2196/mhealth.7521):

(note that this is only a small subset of citations)

  1. Tobore I, Li J, Yuhang L, Al-Handarish Y, Kandwal A, Nie Z, Wang L. Deep Learning Intervention for Health Care Challenges: Some Biomedical Domain Considerations. JMIR mHealth and uHealth 2019;7(8):e11966
    CrossRef
  2. Zeng W, Ismail SA, Pappas E. Detecting the presence of anterior cruciate ligament deficiency based on a double pendulum model, intrinsic time-scale decomposition (ITD) and neural networks. Artificial Intelligence Review 2019;
    CrossRef
  3. Lee JH, Kang T, Choi BK, Han IH, Kim BC, Ro JH. Application of Deep Learning System into the Development of Communication Device for Quadriplegic Patient. Korean Journal of Neurotrauma 2019;15
    CrossRef
  4. O’Reilly M, Caulfield B, Ward T, Johnston W, Doherty C. Wearable Inertial Sensor Systems for Lower Limb Exercise Detection and Evaluation: A Systematic Review. Sports Medicine 2018;48(5):1221
    CrossRef