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Journal ArticleDOI

Hybrid control approaches for hands-free high level human-computer interface-a review.

A. Sharmila
- 02 Jan 2021 - 
- Vol. 45, Iss: 1, pp 6-13
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TLDR
This review discusses the various hybrid control approaches of hands-free high level human–computer interface that characterise the user’s preferred communication style and support user's ability to flexibly combine modes or to switch from one input mode to another that may be better suited to a particular task or setting.
Abstract
For more than a decade, more number of human-machine interfaces had been developed by various combination of user inputs such as speech, hand and head gestures, eye gaze and body movements, etc. And many research issues have been addressed, including facial expression recognition, human emotion analysis, speech recognition/synthesis, human-computer interaction, virtual reality and augmented reality interaction, etc. As a result, the development of a hybrid approach becomes a central issue for hands-free high-level human computer, to help elderly and disabled people. They characterise the user's preferred communication style and support user's ability to flexibly combine modes or to switch from one input mode to another that may be better suited to a particular task or setting. This review discusses the various hybrid control approaches of hands-free high level human-computer interface.

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The landscape of facial processing applications in the context of the European AI Act and the development of trustworthy systems

TL;DR: In this paper , the authors focus on facial processing, which refers to artificial intelligence (AI) systems that take facial images or videos as input data and perform some AI-driven processing to obtain higher-level information (e.g. a person's identity, emotions, demographic attributes) or newly generated imagery.
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Human–machine interface-based wheelchair control using piezoelectric sensors based on face and tongue movements

Charoenporn Bouyam, +1 more
- 01 Nov 2022 - 
TL;DR: In this article , a human-machine interface (HMI) system that uses piezoelectric sensors to translate face and tongue movements was demonstrated for online simulated wheelchair control.
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The Use of Intelligent Alarm System-Based Devices for People with Disabilities Due to Various Chorionic Diseases

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References
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Journal ArticleDOI

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Journal ArticleDOI

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Journal ArticleDOI

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