Assistive Communication Technologies Research Articles

AAC in AACtion: Collaborative Strategies for Special Education Teachers and Speech-Language Pathologists

Augmentative and alternative communication (AAC) refers to a wide variety of communication devices, systems, tools, and strategies that support or replace spoken language. Augmentative and alternative communication users represent a range of ages, abilities, and communication needs. Support for AAC often begins in the public school setting. Although the Individuals with Disabilities Education Act (IDEA) mandates public schools to provide adequate assistive technology for communication and training to support implementation, researchers estimate that fewer than 40% of students with communication impairments using AAC are proficient communicators. Barriers to implementation include a lack of training opportunities, limited preparation time, unfamiliarity with AAC systems, and difficulty finding evidence-based strategies for AAC. To address these, we present evidence-based strategies that speech-language pathologists (SLPs) and special education teachers may use in collaboration to support students using AAC and practical tips for implementation. Strategies described include aided language modeling, core vocabulary, and communication partner support behaviors. Planning considerations for collaboration are discussed.

Assistive Technology for Communication: ESP32 Microcontroller Based 12-Button Board for Disability Students in SMP Kristen Permata Hati Manado

Education is the right of every citizen, including students with special needs, such as physical, emotional, mental, intellectual, and social disabilities. To facilitate proper education for students with special needs, a team consisting of permanent lecturers from the Electrical Engineering Study Program at Unika De La Salle Manado cared for and committed to supporting students with special needs at SMP Kristen Permata Hati Manado. The team tried to apply a 12-button board based on an ESP32 microcontroller for students with special needs or students with disabilities at SMP Kristen Permata Hati Manado to make it easier for them to communicate and interact with teachers while in class, especially when examinations are in progress or learning activities is in progress. The input on the 12-button board was processed into sound (speech) which was then sent to the receiver wirelessly so that what was conveyed by students with disabilities in the classroom could be understood by the teacher through the speakers. The results of implementation in school received a good response from the teachers and the students. Teachers were also very helpful in providing students with an understanding of the use of assistive technology.

Recent Progress in Arabic Sign Language Recognition: Utilizing Convolutional Neural Networks (CNN)

The advancement of assistive communication technology for the deaf and hard-of-hearing community is an area of significant research interest. In this study, we present a Convolutional Neural Network (CNN) model tailored for the recognition of Arabic Sign Language (ArSL). Our model incorporates a meticulous preprocessing pipeline that transforms input images through grayscale conversion, Gaussian blur, histogram equalization, and resizing to standardize input data and enhance feature visibility. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are employed for feature extraction to retain critical discriminative information while reducing dimensionality. The proposed CNN architecture leverages a blend of one-dimensional convolutional layers, max pooling, Leaky ReLU activation functions, and Long Short-Term Memory (LSTM) layers to efficiently capture both spatial and temporal patterns within the data. Our experiments on two separate datasets—one consisting of images and the other of videos—demonstrate exceptional recognition rates of 99.7% and 99.9%, respectively. These results significantly surpass the performance of existing models referenced in the literature. This paper discusses the methodologies, architectural considerations, and the training approach of the proposed model, alongside a comparative analysis of its performance against previous studies. The research outcomes suggest that our model not only sets a new benchmark in sign language recognition but also offers a promising foundation for the development of real-time, assistive sign language translation tools. The potential applications of such technology could greatly enhance communication accessibility, fostering greater inclusion for individuals who rely on sign language as their primary mode of communication. Future work will aim to expand the model's capabilities to more diverse datasets and investigate its deployment in practical, everyday scenarios to bridge the communication gap for the deaf and hard of hearing community.

Improving social interaction of the visually impaired individuals through conversational assistive technology

PurposeAssistive technology has been developed to assist the visually impaired individuals in their social interactions. Specifically designed to enhance communication skills, facilitate social engagement and improve the overall quality of life, conversational assistive technologies include speech recognition APIs, text-to-speech APIs and various communication tools that are real. Enable real-time interaction. Using natural language processing (NLP) and machine learning algorithms, the technology analyzes spoken language and provides appropriate responses, offering an immersive experience through voice commands, audio feedback and vibration alerts.Design/methodology/approachThese technologies have demonstrated their ability to promote self-confidence and self-reliance in visually impaired individuals during social interactions. Moreover, they promise to improve social competence and foster better relationships. In short, assistive technology in conversation stands as a promising tool that empowers the visually impaired individuals, elevating the quality of their social engagement.FindingsThe main benefit of assistive communication technology is that it will help visually impaired people overcome communication barriers in social contexts. This technology helps them communicate effectively with acquaintances, family, co-workers and even strangers in public places. By enabling smoother and more natural communication, it works to reduce feelings of isolation and increase overall quality of life.Originality/valueResearch findings include successful activity recognition, aligning with activities on which the VGG-16 model was trained, such as hugging, shaking hands, talking, walking, waving and more. The originality of this study lies in its approach to address the challenges faced by the visually impaired individuals in their social interactions through modern technology. Research adds to the body of knowledge in the area of assistive technologies, which contribute to the empowerment and social inclusion of the visually impaired individuals.

Use and benefit of information, communication, and assistive technology among community-dwelling older adults – a cross-sectional study

BackgroundTechnology can support healthy aging and empower older adults to live independently. However, technology adoption by older adults, particularly assistive technology (AT), is limited and little is known about the types of AT used among older adults. This study explored the use of key information and communication technologies (ICT) and AT among community-dwelling adults aged ≥ 65.MethodsA cross-sectional study was conducted among community-dwelling adults aged ≥ 65 in southern Germany using a paper-based questionnaire. The questionnaire included questions on the three domains sociodemographic aspects, health status, and technology use. Technology use was considered separately for key ICT (smartphone, computer/laptop, and tablet) and a range of 31 different AT. Data were analyzed using descriptive statistics, univariate analyses, and Bernoulli Naïve Bayes modelling.ResultsThe questionnaire was answered by 616 participants (response rate: 24.64%). ICT were used by 497 (80.68%) participants and were associated with lower age, higher level of education, living together with someone, availability of internet connection, higher interest in technology, and better health status (p < .05). No association was found with sex and size of the hometown. The most frequently owned AT were a landline phone, a body scale, and a blood pressure monitor. Several AT related to functionality, (instrumental) activities of daily living- (IADL), and morbidity were used more frequently among non-ICT users compared to ICT-users: senior mobile phone (19.33% vs. 3.22%), in-house emergency call (13.45% vs. 1.01%), hearing aid (26.89% vs. 16.7%), personal lift (7.56% vs. 1.61%), electronic stand-up aid (4.2% vs. 0%). Those with higher interest in technology reported higher levels of benefit from technology use.ConclusionsDespite the benefits older adults can gain from technology, its use remains low, especially among those with multimorbidity. Particularly newer, more innovative and (I)ADL-related AT appear underutilized. Considering the potential challenges in providing adequate care in the future, it may be crucial to support the use of these specific AT among older and frailer populations. To focus scientific and societal work, AT with a high impact on autonomy ((I)ADL/disease-related) should be distinguished from devices with a low impact on autonomy (household-/ comfort-related).

ASSESSING PREFERENCES FOR COMMUNICATING WITH TECHNOLOGY: A PERSON-CENTERED APPROACH TO CARE MANAGEMENT

Abstract Technological advances, such as telehealth, have been used to manage the multiple chronic conditions that impact over 25% of the US adult population. Technology-assisted communication (TAC) can help to bridge the gap in effective management of health conditions in the community by patients, informal caregivers, and healthcare providers, while emphasizing person-centered care. The purpose of this project was to develop a new theoretically-derived and evidence based subscale for the Preferences for Everyday Living Inventory (PELI) that addresses preferred TAC approaches for community-dwelling adults over the age of 50 years in the context of multiple chronic conditions (N=297). Results indicated that over 60% of older adults are satisfied with technology-based healthcare communications. In general, older adults in the sample are satisfied with all domains of technology-assisted communication that are asked within P-TAC, including timing, sending and receiving of information, and content of communications. Almost 80% (N=234) indicate that they are satisfied with the content of TAC. This research has lead to the development of assessment items that will allow providers to better assess and then integrate patient preferences for technology communication strategies into plans of care. Potential benefits of understanding preferences for TAC include alignment of chronic care management with preferred strategies which may lead to improvement care congruence and improved healthcare outcomes for the older adult.

Decoding Neural Correlation of Language-Specific Imagined Speech using EEG Signals.

Speech impairments due to cerebral lesions and degenerative disorders can be devastating. For humans with severe speech deficits, imagined speech in the brain-computer interface has been a promising hope for reconstructing the neural signals of speech production. However, studies in the EEG-based imagined speech domain still have some limitations due to high variability in spatial and temporal information and low signal-to-noise ratio. In this paper, we investigated the neural signals for two groups of native speakers with two tasks with different languages, English and Chinese. Our assumption was that English, a non-tonal and phonogram-based language, would have spectral differences in neural computation compared to Chinese, a tonal and ideogram-based language. The results showed the significant difference in the relative power spectral density between English and Chinese in specific frequency band groups. Also, the spatial evaluation of Chinese native speakers in the theta band was distinctive during the imagination task. Hence, this paper would suggest the key spectral and spatial information of word imagination with specialized language while decoding the neural signals of speech. Clinical Relevance- Imagined speech-related studies lead to the development of assistive communication technology especially for patients with speech disorders such as aphasia due to brain damage. This study suggests significant spectral features by analyzing cross-language differences of EEG-based imagined speech using two widely used languages.

Assistive Communication Technologies and Stigma: How Perceived Visibility of Cochlear Implants Affects Self-Stigma and Social Interaction Anxiety

Assistive technologies promise improved functionality for people with disabilities, but their use and adoption are complicated. Previous research has identified several reasons why people with disabilities choose to abandon their assistive technologies. However, less is known about the adoption of assistive technologies that are permanent and user perceptions of these technologies. This study builds upon existing assistive technology, disability, identity, and stigma literature by examining the role of perceptions of cochlear implants, an assistive technology that permanently renders an invisible disability visible, among the single-sided deaf community. Analysis of survey data from 332 single-sided deaf individuals with cochlear implants all over the world revealed that the perceived visibility of assistive technology is positively associated with self-stigma and social interaction anxiety. Results from this study highlight the centrality of sociotechnical perceptions of assistive technologies to the experience of stigma, rather than the objective characteristics and features of technology, and problematize the existing dichotomous approach (visible v. invisible) to understanding assistive technologies. This study also illuminates the importance of studying assistive technologies on an intragroup level as well as focusing on how specific stigmatized niche communities may perceive and use their assistive technologies.

Effective communication in the nurse-patient relationship in the light of Transcultural Interprofessional Practice model

Objective: to analyze the use of elements of effective nurse-patient communication in the light of the Transcultural Interprofessional Practice model. Methods: an integrative literature review was carried out in the CINAHL, LILACS, MEDLINE, SCOPUS, and Web of Science databases, without a time limit. Results: 12 studies were analyzed, most of them published in the English language, in 2017. Two categories were elaborated: effective verbal and non-verbal communication between nurses and patients. The elements of effective verbal communication were presented as speech and language; non-verbal ones presented as signals, distance, eye contact, time, touch, listening, empathy, and patience. Technology-assisted communication was part of both. Less frequently, the verbal communication process was hindered by language and non-verbal communication due to a lack of time availability. Conclusion: effective communication favors the establishment of trust, interaction, and the nurse-patient relationship.

Intensive care unit visiting and family communication during the COVID-19 pandemic: A UK survey.

BackgroundFrequent visiting and communication with patients’ families are embedded within normal ICU practice, however the COVID-19 pandemic has challenged this, and it is unclear how ICUs are managing. We aimed to investigate how NHS ICUs are approaching family communications and visiting during the COVID-19 pandemic.MethodsAn electronic snapshot survey was delivered between 16th April and 4th May 2020 and was open to NHS ICUs. Replies from 134 individual ICUs with COVID patients were included.ResultsAll reported that visiting was more restricted than normal with 29 (22%) not allowing any visitors, 71 (53%) allowing visitors at the end of a patient’s life (EOL) only, and 30 (22%) allowing visitors for vulnerable patients or EOL. Nearly all (n = 130, 97%) were updating families daily, with most initiating the update (n = 120, 92%). Daily telephone calls were routinely made by the medical (n = 75, 55%) or nursing team (n = 50, 37%). Video calling was used by 63 (47%), and 39 (29%) ICUs had developed a dedicated family communication team. Resuscitation and EOL discussions were most frequently via telephone (n = 129, 96%), with 24 (18%) having used video calling, and 15 (11%) reporting discussions had occurred in person. Clinicians expressed their dissatisfaction with the situation and raised concerns about the detrimental effect on patients, families, and staff.ConclusionsCOVID-19 has resulted in significant changes across NHS ICUs in how they interact with families. Many units are adapting and moving toward distant and technology-assisted communication. Despite innovative solutions, challenges remain and there may be a role for local and national guidance.

May the Patient’s Will, Expressed by Means of Assistive Communication Technologies, be Admissible as Evidence in Court Proceedings?

The article is dedicated to hallmark the problem of accepting evidence of a patient’s will by a court in diverse proceedings, and it being communicated by non-classical means. Modern technologies allow patients to communicate utilizing various electrified appliances, in case the disabled person suffers from an ailment, or a health disorder affecting speech and mental abilities. Such appliances may truly enhance the patient’s quality of life; however, it is uncertain whether such patient may be found to be a competent witness, or the information reflecting their will obtained in a non-classical method may be found to be as convincing evidence by the court. Currently, there is very little judicial precedent dealing with obtaining evidence of the patient’s will by means of assistive communication technologies, though recent Italian legacy has shown such evidence may be accepted by the court, in case forensic-psychiatric examination approves adequacy of the cognitive abilities of the patient, rendering their will competent. Diverse legal systems render the question of patient’s competence differently, and the issue of accepting information as evidence obtained by means of assistive communication technologies will surely become more frequent in disputes relating to testament validity or determining the patient’s will to undergo or forego medical treatment. Such cases may be of high relevance in civil proceedings on withdrawal of life-supporting treatment, which will ultimately result in the patient’s demise. Keywords: patient’s autonomy, patient’s legal capacity, withdrawal of life-supporting treatment, assistive communication technologies, theory of evidence, critically-ill patients.

Family Presence in Long-Term Care During the COVID-19 Pandemic: Call to Action for Policy, Practice, and Research.

Family presence in long-term care (LTC) homes is crucial for meeting the health, psychosocial, and practical needs of residents. Initially during the COVID-19 pandemic, visitation restrictions essentially locked-out families as public health orders prioritized prevention of harm from spread of infection. Although telephone and technology-assisted communication with families was encouraged, many residents were unable to participate. The outcry from families on the injustice of disruption of family units and emerging reports of harms arising from prolonged restrictions highlight the need for provincial and organizational policies to recognize the impact of resident and family separation on well-being. In this commentary we describe family caregiving, review the impact of visitation restrictions on residents, families, and LTC staff, and provide a resident- and family-oriented perspective on policy implications that challenge the outdated notion that extreme restrictions to family presence protect resident health.

Transitions in Amyotrophic Lateral Sclerosis: Patient and Caregiver Experiences.

Amyotrophic lateral sclerosis (ALS) presents many transitions for persons/people with ALS (PwALS) and their caregivers. Transitions are passages from one life phase, condition, or status to another. We used qualitative methods to understand how PwALS and caregivers experience transitions throughout their ALS journey. PwALS and their caregivers were recruited from a multidisciplinary ALS clinic in Edmonton, Canada. We recruited patients at the stage of ALS that home mechanical ventilation, a feeding tube, and/or assistive communication technology had been offered. Semi-structured interviews were audio-recorded, transcribed, and analyzed using qualitative thematic analysis. We interviewed 14 PwALS and 15 caregivers and identified 5 recurring themes. The importance of community was identified by many PwALS and caregivers who expressed feelings of loneliness and isolation. Most caregivers were spouses and couples navigated a change in their relationship roles as one spouse transitioned to becoming a caregiver while the other transitioned to dependency. The caregiver spouses reported a sense of "total responsibility" that encompassed continual vigilance for the PwALS's well-being, managing their household and finances. PwALS and caregivers reported transitioning to reliance on life-sustaining medical devices; early adoption and information on these devices increased their quality of life. Participants also wanted more and earlier information on advanced care planning. PwALS and caregivers identified adapting to new forms of communication as a necessity. ALS presents many transitions for PwALS and caregivers. Understanding these transitions is important for ALS healthcare professionals who seek to implement best care practices.

Assistive Technology to Promote Communication and Social Interaction for People With Deafblindness: A Systematic Review

Background: People with deafblindness experience stigmatization, exclusion, and isolation. Due to complex communication challenges, feelings of isolation and exclusion can increase. However, assistive technology can change these negative outcomes. The aim of this systematic review is to synthesize and analyze the research published in journal articles focused on the use of assistive technology to improve communication and social interaction for people with deafblindness. Methods: A qualitative review study, examining journal articles focusing on the use of assistive technology to support social interaction of people with deafblindness as found in the following databases: IEEE Xplore, ProQuest, Cochrane, Embase, CINANHL, PsychINFO, Web of Science, PubMed, and ProQuest, was conducted. An in-depth analysis of the selected articles was performed. Results: Nine articles were included in this systematic review. The Technology Readiness Levels indicated that the communication assistive technologies reported in the included journal articles span across readiness levels, but mostly remained in the prototype phase. The identified themes are: (1) the objective of the assistive technology, with as sub-themes two-way communication, and access to information; (2) design and development, with as sub-themes new communication assistive technology design, and development, usability and co-creators; (3) acquisition and implementation; and (4) the impact of the assistive technology, with as sub-themes social integration and expansion, autonomy and confidence, and well-being. Conclusions: This systematic review provides a roadmap for the way forward in the use of assistive technology in communication and social interaction for people with deafblindness. Co-creation should start during the design and development stages and continue into testing, evaluating and implementation. A greater understanding of the unique communication needs and challenges may contribute to the development of more advanced technologies which can be used in daily situations and contribute to support two-way communication and social inclusion of people with deafblindness. Furthermore, a challenge remains to focus on the development of assistive technology supporting declarative communication, which includes giving comments, declarations, predictions, and reflections during a conversation. More research conducted over the long-term is needed to bring the communication assistive technologies into more advanced stages of readiness.

Accessible digital assessments of temporal, spatial, or movement concepts for profoundly motor impaired and non-verbal individuals: a pilot study

Purpose Here we present a study of two new Assistive Technology (AT) accessible digital assessments which were developed to address the current paucity of (English) spoken language comprehension assessments accessible to individuals who are both non-verbal and have profound motor impairments. Such individuals may rely heavily upon AT for communication and control. However, many assessments require that responses are given either verbally, by physical pointing or manipulating physical objects. A further problem with many assessments is their reliance upon static images to represent language components involving temporal, spatial or movement concepts. These new assessments aim to address some of these issues. Materials and methods The assessments were used with 2 young people who are non-verbal and have profound motor impairments (GMFCS level IV/V) and who use eye gaze as their primary method of communication and access. One assessment uses static images and the other short video clips to represent concepts containing temporal, spatial or movement elements. The assessments were carried out with each participant, both before and after an intervention, as part of a larger study. Results The assessments were accessible using AT (eye gaze) for both participants, although assessment scores varied. The design of the assessments particularly suited one participant who scored near maximum, but they appeared less suitable for the other participant. Conclusions Making assessments AT accessible removes a barrier to assessing aspects of the spoken language comprehension abilities of some. Video may be a better medium for representing certain concepts within assessments compared with static images. IMPLICATIONS FOR REHABILITATION The new assessments provided a deeper understanding of two members of a group who are traditionally difficult to assess, using two alternative physically accessible methods of assessing the spoken language comprehension of the target group; Accessible assessments are important for assessing complex individuals in order to identify knowledge limitations and set therapy (and education) goals; The alternative access features of communication software can provide a “wrapper” for providing accessibility features to assessments; Video clips may be a better means of representing certain concepts in assessments compared to their static equivalents; Ensuring that assessments are physically accessible is sufficient for the assessment of some individuals, but for some “cognitive” accessibility also needs to be considered.

ASSESSING PREFERENCES FOR COMMUNICATING WITH TECHNOLOGY: COMMUNITY-BASED PROVIDER PERSPECTIVES

Miscommunication during older adults’ care transitions from hospital to community-based settings (e.g. home health) can lead to adverse events. Effective use of technology assisted communication (TAC) may help to remedy miscommunication surrounding care transitions. Care providers in community-based settings are well-positioned to provide insight on the feasibility and current use of TAC. The purpose of this research was to determine contextual factors (i.e., intrapersonal, interpersonal, environmental) that influence the use of TAC in the home health setting from the perspective of community-based direct care providers and administrators. Focus groups were conducted with direct care providers and c administrators from two different settings – rural and urban/suburban. Content analysis was used to determine themes. Participants indicated that there are many barriers for older adults’ use of TAC such as low interest, fear of technology, knowledge gaps, and lack of access to technology. However, others embraced the use of TAC and technology in the community-based care. Additionally, certain forms of TAC, such as text and email, may be better for communicating with informal caregivers. Some direct care providers indicated they were not allowed or encouraged to use certain TAC with patients due to potential security concerns. The community-based care administrators highlighted the importance of TAC but did indicate that use can be limited due to liability and HIPAA concerns. These findings provide important insight for both determining how to best implement TAC for older adults in community-based care settings and aiding in the development of a tool for measuring preferences.

Wearable Technology for Detecting Significant Moments in Individuals with Dementia.

The detection of significant moments can support the care of individuals with dementia by making visible what is most meaningful to them and maintaining a sense of interpersonal connection. We present a novel intelligent assistive technology (IAT) for the detection of significant moments based on patterns of physiological signal changes in individuals with dementia and their caregivers. The parameters of the IAT are tailored to each individual's idiosyncratic physiological response patterns through an iterative process of incorporating subjective feedback on videos extracted from candidate significant moments identified through the IAT algorithm. The IAT was tested on three dyads (individual with dementia and their primary caregiver) during an eight-week movement program. Upon completion of the program, the IAT identified distinct, personal characteristics of physiological responsiveness in each participant. Tailored algorithms could detect moments of significance experienced by either member of the dyad with an agreement with subjective reports of 70%. These moments were constituted by both physical and emotional significances (e.g., experiences of pain or anxiety) and interpersonal significance (e.g., moments of heighted connection). We provide a freely available MATLAB toolbox with the IAT software in hopes that the assistive technology community can benefit from and contribute to these tools for understanding the subjective experiences of individuals with dementia.

POSTHUMANISM AND ASSISTIVE TECHNOLOGIES: ON THE SOCIAL INCLUSION/EXCLUSION OF LOW-TECH CYBORGS

ABSTRACT In this paper, we elaborate on the consequences of a post-humanist perspective to the problem of physical disability by approaching the use of assistive technologies (AT) by disabled people as the introduction of a low-tech cyborg in the world. In doing so, we highlight examples of communication ATs and provide analogies between ATs and languages in the constitution of selves and social contexts. ATs are informed ideologically, so they can be seen both as a way to “fix” an “impaired” person, or as a strategy to overcome a physical and social context that disables some people and makes other people “able-bodied”. We argue that becoming a low-tech cyborg can be a form of social inclusion if we understand disability to be produced by the context, rather than as an inherent dysfunctionality of the individual. Based on this assumption, we identify two strategies of social inclusion of the low-tech cyborg: disembodiment of the Self, and embodied virtuality. We remark, however, that low-tech cyborgs can be configured out of necessity or choice and add that the same socioeconomic factors that produce inequality in general are also active in the social exclusion/inclusion of the low-tech cyborg. Thus, ATs can be adopted and transformed by choice so as to broaden the gap between cyborg haves and have nots, while both kinds of cyborgs can become increasingly subject to cognitive and affective exploitation in the context of cognitive capitalism. We conclude that the potential of a post-humanist perspective to disability should not be about making “impaired humans” integer, nor making “integer humans” more than human, but keeping selves ethically connected with others whether by virtual embodiment or embodied virtuality.

Assessment of a Communication Assistive Technology for Individuals with Deafblindness: A Case Study

The main goal of this study was to evaluate a communication assistance device (CAD) for individuals with deafblindness, based on a braille display notetaker connected via Bluetooth to an iPhone. This study examined the use of this device by a 61-year-old woman living with Usher syndrome with sighted and hearing interlocutors during three restaurant outings.&#x0D; The study had three specific objectives: 1) To evaluate the participant’s and her interlocutors’ perceptions of their productivity in the communication interaction in real-life situations, without and with the CAD; 2) To evaluate the participant's emotional experience after using the CAD; and 3) To describe how the communication interactions between the participant and her interlocutors work, without and with the CAD. The relevance, utility and interest of such a communication support technology became clearly apparent, along with the enthusiasm it aroused in her interlocutors. Despite the empowerment it provided, the huge differences in some aspects of interactions made without and with the CAD suggest that the constraints introduced by the use of a CAD modify the nature of communication. Four recommendations are made. Any future development of the technology intended for users with minimal experience working with computers and electronic devices should be encouraged. &#x0D; https://doi.org/10.21827/jdbsc.5.32575

A Cost-Effective Technology-Assisted Communication for Paralyzed People using Eye Blink – An Experimental Approach

A Cost-Effective Technology-Assisted Communication for Paralyzed People using Eye Blink – An Experimental Approach