Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor
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...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/22/16/6282 |
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| author | Claudia Ferraris Gianluca Amprimo Giulia Masi Luca Vismara Riccardo Cremascoli Serena Sinagra Giuseppe Pettiti Alessandro Mauro Lorenzo Priano |
| author_facet | Claudia Ferraris Gianluca Amprimo Giulia Masi Luca Vismara Riccardo Cremascoli Serena Sinagra Giuseppe Pettiti Alessandro Mauro Lorenzo Priano |
| author_sort | Claudia Ferraris |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T03:50:14Z |
| format | Article |
| id | doaj.art-2892fdb47e05456688580bc5b6343ee3 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T03:50:14Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-2892fdb47e05456688580bc5b6343ee32023-12-03T14:27:40ZengMDPI AGSensors1424-82202022-08-012216628210.3390/s22166282Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect SensorClaudia Ferraris0Gianluca Amprimo1Giulia Masi2Luca Vismara3Riccardo Cremascoli4Serena Sinagra5Giuseppe Pettiti6Alessandro Mauro7Lorenzo Priano8Institute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, ItalyIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, Strada Luigi Cadorna 90, 28824 Piancavallo, ItalyDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, ItalyIstituto Auxologico Italiano, IRCCS, Department of Neurology and Neurorehabilitation, S. Giuseppe Hospital, Strada Luigi Cadorna 90, 28824 Piancavallo, ItalyInstitute of Electronics, Computer and Telecommunication Engineering, National Research Council, Corso Duca degli Abruzzi 24, 10129 Torino, ItalyDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, ItalyDepartment of Neurosciences, University of Turin, Via Cherasco 15, 10100 Torino, ItalyArm 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.https://www.mdpi.com/1424-8220/22/16/6282arm swinggait analysisAzure KinectParkinson’s diseasespatiotemporal parameterscenter of mass sway |
| spellingShingle | Claudia Ferraris Gianluca Amprimo Giulia Masi Luca Vismara Riccardo Cremascoli Serena Sinagra Giuseppe Pettiti Alessandro Mauro Lorenzo Priano Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor Sensors arm swing gait analysis Azure Kinect Parkinson’s disease spatiotemporal parameters center of mass sway |
| title | Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor |
| title_full | Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor |
| title_fullStr | Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor |
| title_full_unstemmed | Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor |
| title_short | Evaluation of Arm Swing Features and Asymmetry during Gait in Parkinson’s Disease Using the Azure Kinect Sensor |
| title_sort | evaluation of arm swing features and asymmetry during gait in parkinson s disease using the azure kinect sensor |
| topic | arm swing gait analysis Azure Kinect Parkinson’s disease spatiotemporal parameters center of mass sway |
| url | https://www.mdpi.com/1424-8220/22/16/6282 |
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