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Citing this Article

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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. Zhang Y, Haghighi PD, Burstein F, Yap LW, Cheng W, Yao L, Cicuttini F. Electronic Skin Wearable Sensors for Detecting Lumbar–Pelvic Movements. Sensors 2020;20(5):1510
  2. Dorschky E, Nitschke M, Martindale CF, van den Bogert AJ, Koelewijn AD, Eskofier BM. CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data. Frontiers in Bioengineering and Biotechnology 2020;8
  3. 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 2020;53(5):3231
  4. 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
  5. 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(2):88
  6. 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