Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems
The use of assistive technologies can mitigate or reduce the challenges faced by individuals with motor disabilities to use computer systems. However, those who feature severe involuntary movements often have fewer options at hand. This work describes an application that can recognize the user’s hea...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-01-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/2/435 |
| _version_ | 1797490586512523264 |
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| author | Carlos Wellington P. Gonçalves Rogério A. Richa Antonio P. L. Bo |
| author_facet | Carlos Wellington P. Gonçalves Rogério A. Richa Antonio P. L. Bo |
| author_sort | Carlos Wellington P. Gonçalves |
| collection | DOAJ |
| description | The use of assistive technologies can mitigate or reduce the challenges faced by individuals with motor disabilities to use computer systems. However, those who feature severe involuntary movements often have fewer options at hand. This work describes an application that can recognize the user’s head using a conventional webcam, track its motion, model the desired functional movement, and recognize it to enable the use of a virtual keyboard. The proposed classifier features a flexible structure and may be personalized for different user need. Experimental results obtained with participants with no neurological disorders have shown that classifiers based on Hidden Markov Models provided similar or better performance than a classifier based on position threshold. However, motion segmentation and interpretation modules were sensitive to involuntary movements featured by participants with cerebral palsy that took part in the study. |
| first_indexed | 2024-03-10T00:35:07Z |
| format | Article |
| id | doaj.art-210342601ca047eba3a6e2054348b61a |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T00:35:07Z |
| publishDate | 2022-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-210342601ca047eba3a6e2054348b61a2023-11-23T15:18:33ZengMDPI AGSensors1424-82202022-01-0122243510.3390/s22020435Tracking and Classification of Head Movement for Augmentative and Alternative Communication SystemsCarlos Wellington P. Gonçalves0Rogério A. Richa1Antonio P. L. Bo2SARAH Network of Rehabilitation Hospitals, Brasilia 70000-000, BrazilBrazilian National Institute for Digital Convergence, Federal University of Santa Catarina, Florianopolis 88040-900, BrazilElectrical Engineering Department, University of Brasilia, Brasilia 70910-900, BrazilThe use of assistive technologies can mitigate or reduce the challenges faced by individuals with motor disabilities to use computer systems. However, those who feature severe involuntary movements often have fewer options at hand. This work describes an application that can recognize the user’s head using a conventional webcam, track its motion, model the desired functional movement, and recognize it to enable the use of a virtual keyboard. The proposed classifier features a flexible structure and may be personalized for different user need. Experimental results obtained with participants with no neurological disorders have shown that classifiers based on Hidden Markov Models provided similar or better performance than a classifier based on position threshold. However, motion segmentation and interpretation modules were sensitive to involuntary movements featured by participants with cerebral palsy that took part in the study.https://www.mdpi.com/1424-8220/22/2/435human–computer interfacehuman movement analysiscerebral palsyhidden Markov modelassistive technology |
| spellingShingle | Carlos Wellington P. Gonçalves Rogério A. Richa Antonio P. L. Bo Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems Sensors human–computer interface human movement analysis cerebral palsy hidden Markov model assistive technology |
| title | Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems |
| title_full | Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems |
| title_fullStr | Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems |
| title_full_unstemmed | Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems |
| title_short | Tracking and Classification of Head Movement for Augmentative and Alternative Communication Systems |
| title_sort | tracking and classification of head movement for augmentative and alternative communication systems |
| topic | human–computer interface human movement analysis cerebral palsy hidden Markov model assistive technology |
| url | https://www.mdpi.com/1424-8220/22/2/435 |
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