Integrated Assistive Auxiliary System - Developing Low Cost Assistive Technology to Provide Computational Accessibility for Disabled People

Assistive technology has evolved over the years with fantastic technological innovations. However, the literature shows that they are not always accessible academically and financially to whom it should really help. This paper shows the redesign of a conventional mouse for the use of people with specific needs, more directly, quadriplegia, low cost and parts that are easy to find in specialized stores, here called assistive auxiliary hardware - AAH. It also shows the development of auxiliary assistive software - AAS, which together with AAH, form the Integrated Assistive Auxiliary System - IAAS, of patent belonging to the Federal Institute of Bahia - IFBA, but free for researchers from all over the world to use in their research.

[1]  P. Fitts.  The information capacity of the human motor system in controlling the amplitude of movement. , 1954, Journal of experimental psychology.

[2]  Maysam Ghovanloo,et al.  Quantitative and Comparative Assessment of Learning in a Tongue-Operated Computer Input Device , 2011, IEEE Transactions on Information Technology in Biomedicine.

[3]  Serhat Kurt,et al.  Moving toward a universally accessible web: Web accessibility and education , 2019, Assistive technology : the official journal of RESNA.

[4]  Albert M. Cook,et al.  Assistive Technologies: Principles and Practice , 1995 .

[5]  Marcio Bender Machado,et al.  Evaluation of the Use of Eye and Head Movements for Mouse-like Functions by Using IOM Device , 2016, HCI.

[6]  Omar M. Aldossary,et al.  Bottle atom trapping configuration by optical dipole forces , 2014 .

[7]  I. Scott MacKenzie,et al.  FittsFace: Exploring Navigation and Selection Methods for Facial Tracking , 2017, HCI.

[8]  Xuan Zhang,et al.  Evaluating Eye Tracking with ISO 9241 - Part 9 , 2007, HCI.

[9]  João M. F. Rodrigues,et al.  Low-cost Natural Interface Based on Head Movements , 2015, DSAI.

[10]  Sandi Ljubic,et al.  Integrating Blink Click interaction into a head tracking system: implementation and usability issues , 2013, Universal Access in the Information Society.

[11]  Patrick Langdon,et al.  Multimodal Intelligent Eye-Gaze Tracking System , 2015, Int. J. Hum. Comput. Interact..

[12]  Ivana Soares Bandeira,et al.  A Human-Computer Interface and an Analysis on the Drawing of Curves with a Face Tracker Mouse , 2016, HCI.

[13]  Mohamed Jemni,et al.  Learning technologies for people with disabilities , 2014 .

[14]  King Abdulaziz,et al.  The Wiimote with SAPI: Creating an Accessible Low-Cost, Human Computer Interface for the Physically Disabled , 2009 .

[15]  I. Scott MacKenzie,et al.  Towards a standard for pointing device evaluation, perspectives on 27 years of Fitts' law research in HCI , 2004, Int. J. Hum. Comput. Stud..

[16]  Nawaz Khan,et al.  DAEL Framework: A New Adaptive E-learning Framework for Students with Dyslexia , 2015, ICCS.

[17]  Roseli de Deus Lopes,et al.  Human–Computer Interface Controlled by the Lip , 2015, IEEE Journal of Biomedical and Health Informatics.

[18]  Paulo Martins,et al.  Accessible Options for Deaf People in e-Learning Platforms: Technology Solutions for Sign Language Translation , 2015, DSAI.

[19]  Margrit Betke,et al.  HMAGIC: head movement and gaze input cascaded pointing , 2015, PETRA.

[20]  I. Scott MacKenzie,et al.  Accuracy measures for evaluating computer pointing devices , 2001, CHI.