https://orcid.org/0000-0001-5048-6756
References
- AL-Rousan M, Assaleh K. 2011. A wavelet- and neural network-based voice system for a smart wheelchair control. J Franklin Inst. 348(1):90–100. DOI:10.1016/j.jfranklin.2009.02.005.
- Bian Z, Hou J, Chau L, Magnenat-Thalmann N. 2016. Facial position and expression-based human–computer interface for persons with tetraplegia. IEEE J Biomed Health Inform. 20(3):915–924. DOI:10.1109/JBHI.2015.2412125.
- Chowdhury MR, Mollah MN, Raihan M, Ahmed AS, Halim MA, Hossain MS. 2018. Designing a cost effective prototype of an automated wheelchair based on EOG (electrooculography).
- Hakonen M, Piitulainen H, Visala A. 2015. Current state of digital signal processing in myoelectric interfaces and related applications. Biomed Signal Process Control. 18:334–359. DOI:10.1016/j.bspc.2015.02.009.
- Jafar MR, Nagesh D. 2020. Classification of mental tasks by using statistical process control and artificial neural networks. Eur J Mol Clin Med. 7(8):3085–3093. https://ejmcm.com/article_4823.html.
- Jafar MR, Nagesh DS. 2021. Literature review on assistive devices available for people with quadriplegia: Indian context. Disabil Rehabil Assist Technol. DOI:10.1080/17483107.2021.1938708.
- Jiang H, Duerstock BS, Wachs JP. 2018. Variability analysis on gestures for people with quadriplegia. IEEE Trans Cybern. 48(1):346–356. DOI:10.1109/TCYB.2016.2635481.
- Khalid U, Conti GE, Erlandson RF, Ellis RD, Brown V, Pandya AK. 2015. Voice-activated lightweight reacher to assist with upper extremity movement limitations: a case study. Assist Technol Off J RESNA. 27(2):112–120. DOI:10.1080/10400435.2014.970676.
- Laumann A, Holbrook J, Minocha J, Rowles D, Nardone B, West D, Kim J, Bruce J, Roth E, Ghovanloo M. 2015. Safety and efficacy of medically performed tongue piercing in people with tetraplegia for use with tongue-operated assistive technology. Top Spinal Cord Inj Rehabil. 21(1):61–76. DOI:10.1310/sci2101-61.
- Linskell J, Bouamrane M-M. 2012. Assisted-living spaces for end-users with complex needs: a proposed implementation and delivery model. Health Informatics J. 18(3):159–170. DOI:10.1177/1460458212441474.
- Mathur N, Jain S, Kumar N, Srivastava A, Purohit N, Patni A. 2015. Spinal cord injury: scenario in an Indian state. Spinal Cord. 53(5):349–352. DOI:10.1038/sc.2014.153.
- Nam Y, Koo B, Cichocki A, Choi S. 2014. GOM-face: GKP, EOG, and EMG-based multimodal interface with application to humanoid robot control. IEEE Trans Biomed Eng. 61(2):453–462. DOI:10.1109/TBME.2013.2280900.
- O’Bard B, Larson A, Herrera J, Nega D, George K. 2017. Electrooculography based iOS controller for individuals with quadriplegia or neurodegenerative disease. In: 2017 IEEE international conference on healthcare informatics (ICHI), August. p. 101–106. DOI:10.1109/ICHI.2017.90.
- Ruíz-Serrano A, Posada-Gómez R, Sibaja AM, Rodríguez GA, Gonzalez-Sanchez BE, Sandoval-Gonzalez OO. 2013. Development of a dual control system applied to a smart wheelchair, using magnetic and speech control. Procedia Technol. 7:158–165. DOI:10.1016/j.protcy.2013.04.020.
- Schmalfuß L, Rupp R, Tuga MR, Kogut A, Hewitt M, Meincke J, Klinker F, Duttenhoefer W, Eck U, Mikut R, Reischl M. 2016. Steer by ear: myoelectric auricular control of powered wheelchairs for individuals with spinal cord injury. Restor Neurol Neurosci. 34(1):79–95. DOI:10.3233/RNN-150579.
- Squires LA, Rush F, Hopkinson A, Val M. 2013. The physical and psychological impact of using a computer-based environmental control system: a case study. Disabil Rehabil Assist Technol. 8(5):434–443. DOI:10.3109/17483107.2012.749427.