Emotion Detection in Older Adults Using Physiological Signals from Wearable Sensors
Open Access
- 29 June 2025
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 990-995
Abstract
No abstract availableAll Related Versions
This publication has 26 references indexed in Scilit:
- Utilization of Wearable Devices as means for Remote Digital Biometric Data Collection in a community‐based, rural randomized controlled trial among Alzheimer’s disease dyadsAlzheimer's & Dementia, 2024
- Measuring emotions in education using wearable devices: A systematic reviewComputers & Education, 2023
- Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearablesScientific Data, 2022
- A Survey of Emotion Recognition using Physiological Signal in Wearable Devices2021
- Cognitive Training and Stress Detection in MCI Frail Older People Through Wearable Sensors and Machine LearningIEEE Access, 2020
- Sensing Physiological Change and Mental Stress in Older Adults From Hot WeatherIEEE Access, 2020
- Heart sound signals can be used for emotion recognitionScientific Reports, 2019
- Emotions detection on an ambient intelligent system using wearable devicesFuture Generation Computer Systems, 2019
- A real-time wearable emotion detection headband based on EEG measurementSensors and Actuators A: Physical, 2017
- Emotion Recognition Using Physiological Signals: Laboratory vs. Wearable Sensors2017