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- W2898794733 abstract "The effect of certain emotional stimuli on physiological indicators is helpful in the treatment of, amongst others, strokes and post-traumatic stress disorder (PTSD). Such knowledge can help with understanding the efficacy of rehabilitation procedures after serious debilitating medical conditions. With recent advances in Internet of Medical Things (IoMT) technology, solutions can be built to correlate psychophysiological signals. Furthermore, data mining and artificial intelligence applied to these signals can help in early intervention in cases where direct correlation is inconclusive. When combined with carefully designed and customized feedback mechanisms, AR can be of high value to the rehabilitation process. In this paper we present a platform built using IoMT sensors and augmented reality (AR) technology. The system is capable of creating ambient environments in AR simulating quantifiable emotional stimuli while measuring physiological variability. The CRADLE (Correlational Research Application Development Linking Emotions) platform can capture subject personalities, procure psychophysiological data from large scale studies, and in the future, perform data mining tasks to make recommendations about conducive environments for psychological wellness. Using CRADLE, this paper shows that heart rate variability (HRV) is impacted in a limited study of five subjects using AR to simulate emotional states. Effectiveness of rehabilitation tasks can hence be actively measured and modified without explicit feedback from subjects using this system." @default.
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- W2898794733 date "2018-10-16" @default.
- W2898794733 modified "2023-09-25" @default.
- W2898794733 title "CRADLE" @default.
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- W2898794733 doi "https://doi.org/10.1145/3279963.3279970" @default.
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