Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies
The global trend of population aging poses significant challenges to society and healthcare systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD). In this context, artificial intelligence techniques have demonstrated...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2024-12-01
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| Series: | Virtual Reality & Intelligent Hardware |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2096579624000482 |
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| author | Tian ZHENG Xinheng WANG Xiaolan PENG Ning SU Tianyi XU Xurong XIE Jin HUANG Lun XIE Feng TIAN |
| author_facet | Tian ZHENG Xinheng WANG Xiaolan PENG Ning SU Tianyi XU Xurong XIE Jin HUANG Lun XIE Feng TIAN |
| author_sort | Tian ZHENG |
| collection | DOAJ |
| description | The global trend of population aging poses significant challenges to society and healthcare systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD). In this context, artificial intelligence techniques have demonstrated promising potential for the objective assessment and detection of NCDs. Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. This paper systematically reviews the specific methods and applications of these technologies in the detection of NCDs using data collection paradigms, feature extraction, and modeling approaches. Additionally, the potential applications and future prospects of these technologies for the detection of cognitive and motor disorders are explored. By providing a comprehensive summary and refinement of the extant theories, methodologies, and applications, this study aims to facilitate an in-depth understanding of these technologies for researchers, both within and outside the field. To the best of our knowledge, this is the first survey to cover the use of speech-language processing, computer vision, and virtual reality technologies for the detection of NSDs. |
| format | Article |
| id | doaj-art-e6b74c5deb964864a60c3754eac8d4e9 |
| institution | DOAJ |
| issn | 2096-5796 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Virtual Reality & Intelligent Hardware |
| spelling | doaj-art-e6b74c5deb964864a60c3754eac8d4e92025-08-20T02:51:18ZengKeAi Communications Co., Ltd.Virtual Reality & Intelligent Hardware2096-57962024-12-016642147210.1016/j.vrih.2024.08.001Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologiesTian ZHENG0Xinheng WANG1Xiaolan PENG2Ning SU3Tianyi XU4Xurong XIE5Jin HUANG6Lun XIE7Feng TIAN8Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; School of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, ChinaSchool of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaInstitute of Software, Chinese Academy of Sciences, Beijing 100190, ChinaPeking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Science, Beijing 100005,ChinaSchool of Computer Science and Technology, University of Chinese Academy of Sciences, Beijing 100049, ChinaInstitute of Software, Chinese Academy of Sciences, Beijing 100190, China; Corresponding author,Institute of Software, Chinese Academy of Sciences, Beijing 100190, ChinaSchool of Computer & Communication Engineering, University of Science and Technology Beijing, Beijing 100083, ChinaInstitute of Software, Chinese Academy of Sciences, Beijing 100190, ChinaThe global trend of population aging poses significant challenges to society and healthcare systems, particularly because of neurocognitive disorders (NCDs) such as Parkinson's disease (PD) and Alzheimer's disease (AD). In this context, artificial intelligence techniques have demonstrated promising potential for the objective assessment and detection of NCDs. Multimodal contactless screening technologies, such as speech-language processing, computer vision, and virtual reality, offer efficient and convenient methods for disease diagnosis and progression tracking. This paper systematically reviews the specific methods and applications of these technologies in the detection of NCDs using data collection paradigms, feature extraction, and modeling approaches. Additionally, the potential applications and future prospects of these technologies for the detection of cognitive and motor disorders are explored. By providing a comprehensive summary and refinement of the extant theories, methodologies, and applications, this study aims to facilitate an in-depth understanding of these technologies for researchers, both within and outside the field. To the best of our knowledge, this is the first survey to cover the use of speech-language processing, computer vision, and virtual reality technologies for the detection of NSDs.http://www.sciencedirect.com/science/article/pii/S2096579624000482Neurocognitive disorderSpeech-languageComputer visionVirtual realityArtificial intelligence |
| spellingShingle | Tian ZHENG Xinheng WANG Xiaolan PENG Ning SU Tianyi XU Xurong XIE Jin HUANG Lun XIE Feng TIAN Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies Virtual Reality & Intelligent Hardware Neurocognitive disorder Speech-language Computer vision Virtual reality Artificial intelligence |
| title | Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies |
| title_full | Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies |
| title_fullStr | Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies |
| title_full_unstemmed | Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies |
| title_short | Survey of neurocognitive disorder detection methods based on speech, visual, and virtual reality technologies |
| title_sort | survey of neurocognitive disorder detection methods based on speech visual and virtual reality technologies |
| topic | Neurocognitive disorder Speech-language Computer vision Virtual reality Artificial intelligence |
| url | http://www.sciencedirect.com/science/article/pii/S2096579624000482 |
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