Exploring the Feasibility of Wearable Sensors for Emotion Detection of Older Adults

Our findings show that there was very little correlation between the facial expression and data captured from wearable sensors. These suggest that traditional statistical modeling may not effectively capture non-linear dynamics in emotional data. Future research should explore machine learning techniques to better model these complexities and improve emotional detection accuracy.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2025-12-01
DOI
https://doi.org/10.1002/alz70857_105823
Primary Topic
Emotion and Mood Recognition
Type
article
Field-Weighted Citation Impact
0.00
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article

Exploring the Feasibility of Wearable Sensors for Emotion Detection of Older Adults

Md. Saif Hassan Onim, Himanshu Thapliyal
Alzheimer s & Dementia
Emotion and Mood Recognition
article

Exploring the Feasibility of Wearable Sensors for Emotion Detection of Older Adults

Md. Saif Hassan Onim, Himanshu Thapliyal
article en

Abstract

Our findings show that there was very little correlation between the facial expression and data captured from wearable sensors. These suggest that traditional statistical modeling may not effectively capture non-linear dynamics in emotional data. Future research should explore machine learning techniques to better model these complexities and improve emotional detection accuracy.

Alzheimer s & DementiaVol. 21(S3)
University of Tennessee at Knoxville (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Emotion and Mood Recognition
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Exploring the Feasibility of Wearable Sensors for Emotion Detection of Older Adults — Md. Saif Hassan Onim, Himanshu Thapliyal · Alzheimer s & Dementia (2025) | TGRS Research Map | TGRS