Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications
Vision-based interfaces are used for monitoring human motion. In particular, camera-based head-trackers interpret the movement of the user’s head for interacting with devices. Neck pain is one of the most important musculoskeletal conditions in prevalence and years lived with disability. A common tr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-03-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/6/2237 |
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| author | Iosune Salinas-Bueno Maria Francesca Roig-Maimó Pau Martínez-Bueso Katia San-Sebastián-Fernández Javier Varona Ramon Mas-Sansó |
| author_facet | Iosune Salinas-Bueno Maria Francesca Roig-Maimó Pau Martínez-Bueso Katia San-Sebastián-Fernández Javier Varona Ramon Mas-Sansó |
| author_sort | Iosune Salinas-Bueno |
| collection | DOAJ |
| description | Vision-based interfaces are used for monitoring human motion. In particular, camera-based head-trackers interpret the movement of the user’s head for interacting with devices. Neck pain is one of the most important musculoskeletal conditions in prevalence and years lived with disability. A common treatment is therapeutic exercise, which requires high motivation and adherence to treatment. In this work, we conduct an exploratory experiment to validate the use of a non-invasive camera-based head-tracker monitoring neck movements. We do it by means of an exergame for performing the rehabilitation exercises using a mobile device. The experiments performed in order to explore its feasibility were: (1) validate neck’s range of motion (ROM) that the camera-based head-tracker was able to detect; (2) ensure safety application in terms of neck ROM solicitation by the mobile application. Results not only confirmed safety, in terms of ROM requirements for different preset patient profiles, according with the safety parameters previously established, but also determined the effectiveness of the camera-based head-tracker to monitor the neck movements for rehabilitation purposes. |
| first_indexed | 2024-03-10T12:59:52Z |
| format | Article |
| id | doaj.art-4a18dcc94981454fb57467a79d270b14 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T12:59:52Z |
| publishDate | 2021-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-4a18dcc94981454fb57467a79d270b142023-11-21T11:37:39ZengMDPI AGSensors1424-82202021-03-01216223710.3390/s21062237Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile ApplicationsIosune Salinas-Bueno0Maria Francesca Roig-Maimó1Pau Martínez-Bueso2Katia San-Sebastián-Fernández3Javier Varona4Ramon Mas-Sansó5Department of Nursing and Physiotherapy, University of the Balearic Islands, Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma, SpainDepartment of Mathematics and Computer Science, University of the Balearic Islands, 07122 Palma, SpainDepartment of Nursing and Physiotherapy, University of the Balearic Islands, Health Research Institute of the Balearic Islands (IdISBa), 07122 Palma, SpainDepartment of Nursing and Physiotherapy, University of the Balearic Islands, 07122 Palma, SpainDepartment of Mathematics and Computer Science, University of the Balearic Islands, 07122 Palma, SpainDepartment of Mathematics and Computer Science, University of the Balearic Islands, 07122 Palma, SpainVision-based interfaces are used for monitoring human motion. In particular, camera-based head-trackers interpret the movement of the user’s head for interacting with devices. Neck pain is one of the most important musculoskeletal conditions in prevalence and years lived with disability. A common treatment is therapeutic exercise, which requires high motivation and adherence to treatment. In this work, we conduct an exploratory experiment to validate the use of a non-invasive camera-based head-tracker monitoring neck movements. We do it by means of an exergame for performing the rehabilitation exercises using a mobile device. The experiments performed in order to explore its feasibility were: (1) validate neck’s range of motion (ROM) that the camera-based head-tracker was able to detect; (2) ensure safety application in terms of neck ROM solicitation by the mobile application. Results not only confirmed safety, in terms of ROM requirements for different preset patient profiles, according with the safety parameters previously established, but also determined the effectiveness of the camera-based head-tracker to monitor the neck movements for rehabilitation purposes.https://www.mdpi.com/1424-8220/21/6/2237camera-basedinertial sensorsneckcervical rehabilitationserious gamehead-tracker |
| spellingShingle | Iosune Salinas-Bueno Maria Francesca Roig-Maimó Pau Martínez-Bueso Katia San-Sebastián-Fernández Javier Varona Ramon Mas-Sansó Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications Sensors camera-based inertial sensors neck cervical rehabilitation serious game head-tracker |
| title | Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications |
| title_full | Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications |
| title_fullStr | Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications |
| title_full_unstemmed | Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications |
| title_short | Camera-Based Monitoring of Neck Movements for Cervical Rehabilitation Mobile Applications |
| title_sort | camera based monitoring of neck movements for cervical rehabilitation mobile applications |
| topic | camera-based inertial sensors neck cervical rehabilitation serious game head-tracker |
| url | https://www.mdpi.com/1424-8220/21/6/2237 |
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