Validation of human activity recognition using a convolutional neural network on accelerometer and gyroscope data
Author:
Publisher
Springer Science and Business Media LLC
Subject
Physical Therapy, Sports Therapy and Rehabilitation,Orthopedics and Sports Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12662-022-00817-y.pdf
Reference17 articles.
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3. Cho, H., & Yoon, S. M. (2018). Divide and conquer-based 1D CNN human activity recognition using test data sharpening. Sensors, 18(4), 1055.
4. Gadri, S., & Neuhold, E. (2020). Building best predictive models using ML and DL approaches to categorize fashion clothes. In International conference on artificial intelligence and soft computing (pp. 90–102). Cham: Springer.
5. Giurgiu, M., Bussmann, J. B., Hill, H., Anedda, B., Kronenwett, M., Koch, E. D., & Reichert, M. (2020). Validating accelerometers for the assessment of body position and sedentary behavior. Journal for the Measurement of Physical Behaviour, 3(3), 253–263.
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