Proceedings of the 33rd European Conference on Cognitive Ergonomics 2022
DOI: 10.1145/3552327.3552347
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Home-based Immersive Web Rehabilitation Gaming with Audiovisual Sensors

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Cited by 3 publications
(2 citation statements)
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“…For example, machine learning techniques can be used to personalize the exercise program and make it more appropriate for the individual patient. Using features such as eye tracking [67], facial expression recognition [68], or more simply pain report or self-perceived effort, algorithms can adjust the dosage and type of exercise in real time. This automated personalization may help to remove a significant barrier to adherence often seen in group settings where a one-sizefits-all approach is very common.…”
Section: Ai and Integration With Vrmentioning
confidence: 99%
“…For example, machine learning techniques can be used to personalize the exercise program and make it more appropriate for the individual patient. Using features such as eye tracking [67], facial expression recognition [68], or more simply pain report or self-perceived effort, algorithms can adjust the dosage and type of exercise in real time. This automated personalization may help to remove a significant barrier to adherence often seen in group settings where a one-sizefits-all approach is very common.…”
Section: Ai and Integration With Vrmentioning
confidence: 99%
“…This could reduce distractions and potentially hazardous situations caused by emotional stress, ultimately leading to safer driving conditions [6]. Moreover, these emotion detection and analysis services can be applied to design game features for entertainment or therapy purposes-such as providing joyful game activities to users experiencing unpleasant emotions [7].…”
Section: Introductionmentioning
confidence: 99%