Journal
SENSORS
Volume 22, Issue 16, Pages -Publisher
MDPI
DOI: 10.3390/s22166282
Keywords
arm swing; gait analysis; Azure Kinect; Parkinson's disease; spatiotemporal parameters; center of mass sway; asymmetry; movement analysis
Funding
- ReHOME Project-ICT solutions for tele-rehabilitation of cognitive and motor disabilities in neurological diseases
- Regione Piemonte (Italy): F.E.S.R. 2014/2020, F.S.E. 2014/2020
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This paper presents a gait analysis system based on Microsoft Azure Kinect DK sensor and its body-tracking algorithm, which allows objective assessment of arm swing features during walking. The system can help prevent adverse consequences, provide appropriate treatments and rehabilitation protocols.
Arm swinging is a typical feature of human walking: Continuous and rhythmic movement of the upper limbs is important to ensure postural stability and walking efficiency. However, several factors can interfere with arm swings, making walking more risky and unstable: These include aging, neurological diseases, hemiplegia, and other comorbidities that affect motor control and coordination. Objective assessment of arm swings during walking could play a role in preventing adverse consequences, allowing appropriate treatments and rehabilitation protocols to be activated for recovery and improvement. This paper presents a system for gait analysis based on Microsoft Azure Kinect DK sensor and its body-tracking algorithm: It allows noninvasive full-body tracking, thus enabling simultaneous analysis of different aspects of walking, including arm swing characteristics. Sixteen subjects with Parkinson's disease and 13 healthy controls were recruited with the aim of evaluating differences in arm swing features and correlating them with traditional gait parameters. Preliminary results show significant differences between the two groups and a strong correlation between the parameters. The study thus highlights the ability of the proposed system to quantify arm swing features, thus offering a simple tool to provide a more comprehensive gait assessment.
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