Recent progress in sensing and computing techniques for human activity recognition and motion analysis

Z Meng, M Zhang, C Guo, Q Fan, H Zhang, N Gao… - Electronics, 2020 - mdpi.com
The recent scientific and technical advances in Internet of Things (IoT) based pervasive
sensing and computing have created opportunities for the continuous monitoring of human …

Assessing human motion during exercise using machine learning: A literature review

F Frangoudes, M Matsangidou, EC Schiza… - IEEE …, 2022 - ieeexplore.ieee.org
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …

[图书][B] Artificial intelligence in sport performance analysis

D Araújo, M Couceiro, L Seifert, H Sarmento, K Davids - 2021 - taylorfrancis.com
To understand the dynamic patterns of behaviours and interactions between athletes that
characterize successful performance in different sports is an important challenge for all sport …

Functional movement screen dataset collected with two azure kinect depth sensors

QJ Xing, YY Shen, R Cao, SX Zong, SX Zhao, YF Shen - Scientific Data, 2022 - nature.com
This paper presents a dataset for vision-based autonomous Functional Movement Screen
(FMS) collected from 45 human subjects of different ages (18–59 years old) executing the …

Quantifying how functional and structural personal factors influence biomechanical exposures in paramedic lifting tasks

DP Armstrong, TAC Beach, SL Fischer - Ergonomics, 2024 - Taylor & Francis
It is unknown how structural (sex, stature, body mass) and functional (strength, flexibility)
personal factors influence lifting strategy in paramedic work. We explored whether variance …

Sensor data required for automatic recognition of athletic tasks using deep neural networks

AL Clouthier, GB Ross, RB Graham - Frontiers in bioengineering and …, 2020 - frontiersin.org
Movement screens are used to assess the overall movement quality of an athlete. However,
these rely on visual observation of a series of movements and subjective scoring. Data …

Objective classification and scoring of movement deficiencies in patients with anterior cruciate ligament reconstruction

C Richter, E King, S Strike, A Franklyn-Miller - PloS one, 2019 - journals.plos.org
Motion analysis systems are widely employed to identify movement deficiencies—eg
patterns that potentially increase the risk of injury or inhibit performance. However, findings …

Three-Dimensional Motion Capture Data of a Movement Screen from 183 Athletes

X Zhao, G Ross, B Dowling, RB Graham - Scientific Data, 2023 - nature.com
Movement screens are widely used to identify aberrant movement patterns in hopes of
decreasing risk of injury, identifying talent, and/or improving performance. Motion capture …

Differential effects of sex on upper body kinematics and kinetics during fatiguing, Asymmetric lifting

MR Cardoso, DP Armstrong, SL Fischer, WJ Albert - Applied Ergonomics, 2024 - Elsevier
This study quantified sex-specific biomechanical adaptations to fatigue in asymmetric lifting.
Twenty-one females and fifteen males performed a prolonged asymmetric lifting protocol …

Connected skiing: Motion quality quantification in alpine skiing

C Snyder, A Martínez, R Jahnel, J Roe, T Stöggl - Sensors, 2021 - mdpi.com
Recent developments in sensing technology have made wearable computing smaller and
cheaper. While many wearable technologies aim to quantify motion, there are few which aim …