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  1. Article ; Online: Vocal-friend: internet of social-things framework to aid verbal communication.

    Khullar, Vikas / Singh, Harjit Pal

    Disability and rehabilitation. Assistive technology

    2022  Volume 18, Issue 8, Page(s) 1527–1535

    Abstract: Purpose: Deficits in social verbal communication in individuals with Social Communication Disorder (SCD) is of concern and SCD in the human community is prevalent in large population throughout the globe. Deficits in verbal social communication are ... ...

    Abstract Purpose: Deficits in social verbal communication in individuals with Social Communication Disorder (SCD) is of concern and SCD in the human community is prevalent in large population throughout the globe. Deficits in verbal social communication are prevalent in a large population. This paper aimed to propose internet connected multi-system architecture which is capable to support verbal communication in a social environment for individuals with social communication deficits.
    Material and methods: Implementation methodology was included with corpus collection for specific communication, deep learning based machine training for intelligent communication, and implementation of the trained algorithm on internet connected electronic multiple social communication devices. The implemented system is smart enough to initiate and maintain two types of communication; the first type includes communication between multiple individuals on the remote location and the second type includes communication with the individual present in the physical listening range.
    Results: The system was investigated in terms of its algorithmic parameters and found 97% to 100% in terms of training and testing accuracy with negligible mean squared error. Vocal-Friend analysed results based on audio-bot simulative conditions provide more than 91% accuracy, interaction rate and fallback rate. On the basis of the satisfaction analysis, above average results were noticed.
    Conclusion: In terms of technical implementations and satisfaction analysis, results found acceptable with above average score.IMPLICATION FOR REHABILITATIONProposed framework is easy to use by caregivers with even having little knowledge.Support individual with deficit to learn social verbal communication skill to survive in society.Aiding parents, caregivers and professionals to understand the communication needs of individuals with communication deficits.Since technology is also grooming in the domain of rehabilitation, so this system could be used in various future applications such as social robots, social virtual assistants etc.
    MeSH term(s) Humans ; Friends ; Communication ; Parents ; Internet ; Caregivers
    Language English
    Publishing date 2022-04-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 2221782-4
    ISSN 1748-3115 ; 1748-3107
    ISSN (online) 1748-3115
    ISSN 1748-3107
    DOI 10.1080/17483107.2022.2060349
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Spoken buddy for individuals with autism spectrum disorder.

    Khullar, Vikas / Singh, Harjit Pal / Agarwal, Ambuj Kumar

    Asian journal of psychiatry

    2021  Volume 62, Page(s) 102712

    MeSH term(s) Autism Spectrum Disorder ; Humans
    Language English
    Publishing date 2021-06-03
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2021.102712
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Deep Neural Network-based Handheld Diagnosis System for Autism Spectrum Disorder.

    Khullar, Vikas / Singh, Harjit Pal / Bala, Manju

    Neurology India

    2021  Volume 69, Issue 1, Page(s) 66–74

    Abstract: Objective: The aim of the present work was to propose and implement deep neural network (DNN)-based handheld diagnosis system for more accurate diagnosis and severity assessment of individuals with autism spectrum disorder (ASD).: Methods: Initially, ...

    Abstract Objective: The aim of the present work was to propose and implement deep neural network (DNN)-based handheld diagnosis system for more accurate diagnosis and severity assessment of individuals with autism spectrum disorder (ASD).
    Methods: Initially, the learning of the proposed system for ASD diagnosis was performed by implementing DNN algorithms such as a convolutional neural network (CNN) and long short-term memory (LSTM), and multilayer perceptron (MLP) with DSM-V based acquired dataset. The performance of the DNN algorithms was analyzed based on parameters viz. accuracy, loss, mean squared error (MSE), precision, recall, and area under the curve (AUC) during the training and validation process. Later, the optimum DNN algorithm, among the tested algorithms, was implemented on handheld diagnosis system (HDS) and the performance of HDS was analyzed. The stability of proposed DNN-based HDS was validated with the dataset group of 20 ASD and 20 typically developed (TD) individuals.
    Results: It was observed during comparative analysis that LSTM resulted better in ASD diagnosis as compared to other artificial intelligence (AI) algorithms such as CNN and MLP since LSTM showed stabilized results achieving maximum accuracy in less consumption of epochs with minimum MSE and loss. Further, the LSTM based proposed HDS for ASD achieved optimum results with 100% accuracy in reference to DSM-V, which was validated statistically using a group of ASD and TD individuals.
    Conclusion: The use of advanced AI algorithms could play an important role in the diagnosis of ASD in today's era. Since the proposed LSTM based HDS for ASD and determination of its severity provided accurate results with maximum accuracy with reference to DSM-V criteria, the proposed HDS could be the best alternative to the manual diagnosis system for diagnosis of ASD.
    MeSH term(s) Algorithms ; Artificial Intelligence ; Autism Spectrum Disorder/diagnosis ; Humans ; Neural Networks, Computer
    Language English
    Publishing date 2021-03-01
    Publishing country India
    Document type Journal Article
    ZDB-ID 415522-1
    ISSN 1998-4022 ; 0028-3886
    ISSN (online) 1998-4022
    ISSN 0028-3886
    DOI 10.4103/0028-3886.310069
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India

    Singh, Harjit Pal / Khullar, Vikas / Sharma, Monica

    Augmented Human Research

    2020  Volume 5, Issue 1

    Keywords covid19
    Language English
    Publisher Springer Science and Business Media LLC
    Publishing country us
    Document type Article ; Online
    ZDB-ID 2843091-8
    ISSN 2365-4325 ; 2365-4317
    ISSN (online) 2365-4325
    ISSN 2365-4317
    DOI 10.1007/s41133-020-00037-9
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: IoT based assistive companion for hypersensitive individuals (ACHI) with autism spectrum disorder.

    Khullar, Vikas / Singh, Harjit Pal / Bala, Manju

    Asian journal of psychiatry

    2019  Volume 46, Page(s) 92–102

    Abstract: Objective: Today, most of the individuals with Autism Spectrum Disorders (ASD) have atypical sensory behaviors. The main aim of this study is to propose an assistive intervention for supporting the overloaded sensory responses in hypersensitive ... ...

    Abstract Objective: Today, most of the individuals with Autism Spectrum Disorders (ASD) have atypical sensory behaviors. The main aim of this study is to propose an assistive intervention for supporting the overloaded sensory responses in hypersensitive individuals with ASD.
    Methods: The vision, auditory, smell, and physical balance related multi-sensors based hardware prototype, namely Assistive Companion for Hypersensitive Individuals (ACHI) has been designed for individuals with ASD. The proposed ACHI prototype is an assistive-technology based companion for hypersensitive individuals with ASD which is able to 'fetch/detect the sensory information using electronic sensors', 'making the decision using fuzzy logic on the basis of fetched sensory information' and then, 'transmit the generated information over the internet through the Internet of Things (IoT)', and also able for 'generating alerts to caregivers'. The proposed design is also capable of providing audio & video feedback to calm down individuals with ASD.
    Results: After testing, it is observed that 93% percent of the caregivers rated the proposed ACHI intervention on the scale of above average. The remarkable reduction in hyperactive states related triggering incidents in ASD has been found with the use of ACHI.
    Conclusion: The present work and the proposed prototype can identify and control the sensory overload triggers in ASD and it can guide the caregiver or clinicians to optimize the responsible surrounding causes of explosive behavior in ASD and would help the individuals with ASD to become calm.
    MeSH term(s) Adolescent ; Adult ; Autism Spectrum Disorder/complications ; Autism Spectrum Disorder/physiopathology ; Autism Spectrum Disorder/rehabilitation ; Caregivers ; Child ; Female ; Humans ; Internet ; Male ; Monitoring, Ambulatory ; Neurophysiological Monitoring ; Self-Help Devices ; Sensation Disorders/etiology ; Sensation Disorders/physiopathology ; Sensation Disorders/rehabilitation ; Telemedicine ; Young Adult
    Language English
    Publishing date 2019-09-27
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2456678-0
    ISSN 1876-2026 ; 1876-2018
    ISSN (online) 1876-2026
    ISSN 1876-2018
    DOI 10.1016/j.ajp.2019.09.030
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India

    Singh, Harjit Pal / Khullar, Vikas / Sharma, Monica

    Augmented Human Research

    Abstract: The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe Due to changing data ...

    Abstract The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/ 2020 on the data recorded till 14/04/2020 in the present work The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #620878
    Database COVID19

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  7. Article: Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India. LID - 18

    Singh, H. P. / Khullar, V. Auid-Orcid / Sharma, M.

    Augmented Human Research

    Abstract: ... Harjit Pal ... in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing FAU - Singh ...

    Abstract The new pandemic caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), originated at Wuhan, Hubei province, China in December 2019, threatening the world and becomes the public health crisis throughout the globe Due to changing data and behavior of the current epidemic, appropriate pharmacological techniques to cure are getting delayed day by day The estimated trends of the global and Indian region for COVID-19 epidemic were predicted for the next 21 days till 05/05/2020 on the data recorded till 14/04/2020 in the present work The main focus of the work was to estimate the trends of COVID-19 outbreak on population, especially the high-risk age group of elderly people (with age 50 years and greater) in the Republic of India It was observed that this identified age-group could be more prone to SARS-CoV-2 virus infection and chances of death in this age group could be more The high-risk Indian states/regions were also identified throughout the nation and trends for infection, death, and cured cases were predicted for the next 21 days The outcome of the present work was presented in terms of suggestions that the proper social and medical care for the identified high-risk age group of elderly people of the Indian population should be required to prevent the COVID-19 community transmission The work also supported the extension in countrywide proper lockdown, mass testing, and also the strict rules to follow social distancing FAU - Singh, Harjit Pal
    Keywords covid19
    Publisher WHO
    Document type Article
    Note WHO #Covidence: #848597
    Database COVID19

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  8. Article ; Online: e-Choupal

    Neeraj Dangi / Harjit Singh

    American Journal of Economics and Business Administration, Vol 2, Iss 2, Pp 179-

    Hope or Hype?

    2010  Volume 184

    Abstract: Problem statement: This case looked at the cost benefit factor of e-Choupal model in rural India from socio-economic perspective since it is being projected as one of the models of rural empowerment. Questions were raised whether its growth both ... ...

    Abstract Problem statement: This case looked at the cost benefit factor of e-Choupal model in rural India from socio-economic perspective since it is being projected as one of the models of rural empowerment. Questions were raised whether its growth both horizontally and vertically might be detrimental to sustainability of traditional agrarian economy. It also examined the role of ICT and government policies in this context. Approach: The study examined the above mentioned issues from the context of rural India. Empirical literature was referred to build a link between various rural issues and e-Choupal. Results: e-Choupal model may not be leading towards a holistic development since the individual income increase of participating members may be at the expense of non-participating members of the rural commune. Conclusion: The results indicated that the present modus operandi of e-Choupal may perhaps lead to further rural consolidation through corporatization rather than rural empowerment.
    Keywords </keyword><keyword>Rural India ; agrarian economy ; Information and Communication Technologies (ICT) ; socio-economic development ; e-Choupal ; supply chain ; Business ; HF5001-6182 ; Commerce ; HF1-6182 ; Social Sciences ; H ; DOAJ:Business and Management ; DOAJ:Business and Economics
    Subject code 910
    Language English
    Publishing date 2010-01-01T00:00:00Z
    Publisher Science Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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