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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"

Jose Juan Dominguez Veiga, Martin O'Reilly, Darragh Whelan, Brian Caulfield, Tomas E Ward

JMIR Mhealth Uhealth 2017 (Aug 04); 5(8):e115 

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
    CrossRef
  2. 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
  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
    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
  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
    CrossRef
  6. 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
    CrossRef
  7. Prabhu G, O’Connor NE, Moran K. Recognition and Repetition Counting for Local Muscular Endurance Exercises in Exercise-Based Rehabilitation: A Comparative Study Using Artificial Intelligence Models. Sensors 2020;20(17):4791
    CrossRef
  8. Mangal NK, Tiwari AK. A review of the evolution of scientific literature on technology-assisted approaches using RGB-D sensors for musculoskeletal health monitoring. Computers in Biology and Medicine 2021;132:104316
    CrossRef
  9. Donisi L, Cesarelli G, Coccia A, Panigazzi M, Capodaglio EM, D’Addio G. Work-Related Risk Assessment According to the Revised NIOSH Lifting Equation: A Preliminary Study Using a Wearable Inertial Sensor and Machine Learning. Sensors 2021;21(8):2593
    CrossRef
  10. Lee H, Youm S. Development of a Wearable Camera and AI Algorithm for Medication Behavior Recognition. Sensors 2021;21(11):3594
    CrossRef
  11. Chong J, Tjurin P, Niemelä M, Jämsä T, Farrahi V. Machine-learning models for activity class prediction: A comparative study of feature selection and classification algorithms. Gait & Posture 2021;89:45
    CrossRef
  12. Bochniewicz EM, Emmer G, Dromerick AW, Barth J, Lum PS. Measurement of Functional Use in Upper Extremity Prosthetic Devices Using Wearable Sensors and Machine Learning. Sensors 2023;23(6):3111
    CrossRef

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

  1. Mishra A, Mohapatra SS, Bisoy SK. Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis. 2022. Chapter 8:121
    CrossRef
  2. Zapata B, Narváez F, García MT, Zapata D. Systems, Smart Technologies and Innovation for Society. 2024. Chapter 28:293
    CrossRef