OBJECTIVES: To analyze the application of artificial intelligence in human motor activities.

METHODS: Rapid literature review, in Google Scholar and Google Patents using the keywords: Machine Learning, Musculoskeletal, artificially intelligent, applications and sensor. The search was conducted during May 2022. Scientific articles responding to the objective and patents of the applications were included.

RESULTS: 27 papers were analyzed: 13 of them patents published in 2011(1), 2013(3), 2015(1), 2016(4), 2018(2), 2020(2). The 14 papers were published in 2014(1), 2015(2), 2016(3), 2018(2), 2019(3), and 2021(1). The applications are based on: a) sensors to predict musculoskeletal disorders and biosensors to obtain parameters of human dynamics b) biosensors for exercise learning using artificial neural networks c) biosensors for physical rehabilitation, d) smart watches for fall detection, and e) mobile applications for vital sign monitoring. Existing products include 1) musculoskeletal robotic devices for disabled patients, 2) visual posture detection and balance assessment, and 3) cardiovascular capacity estimation.

CONCLUSIONS: The reviewed works show that the technology has been applied to various problems, however, they pose a restriction due to the cost of the equipment and its maintenance, especially in kinesiological equipment. The challenge for engineers and health staff is to generate low-cost mobile rehabilitation equipment.