Application of an Emergency Alarm System for Physiological Sensors Utilizing Smart Devices. Physiological sensors based emotion recognition while experiencing tactile enhanced multimedia. Towards emotion recognition for virtual environments: An evaluation of eeg features on benchmark dataset. Affective recognition from EEG signals: An integrated data-mining approach. Smart environment architecture for emotion detection and regulation. Hardware for recognition of human activities: A review of smart home and AAL related technologies. Monitoring of the daily living activities in smart home care. A situation-aware system for the detection of motion disorders of patients with autism spectrum disorders. Development of a Proxy-Free Objective Assessment Tool of Instrumental Activities of Daily Living in Mild Cognitive Impairment Using Smart Home Technologies. Literature review on monitoring technologies and their outcomes in independently living elderly people. The Elderly’s Independent Living in Smart Homes: A Characterization of Activities and Sensing Infrastructure Survey to Facilitate Services Development. Increasing trend of wearables and multimodal interface for human activity monitoring: A review. We also discuss some possible causes of weak and negative correlations from anomalies detected in the raw data possibly related to the sensors or the test group, which may be considered to develop robust emotion detection systems based on GRS biosignals.Īttribution-NonCommercial-NoDerivatives 4.0 InternationalĬorrelation analysis of different measurement places of galvanic skin response in test groups facing pleasant and unpleasant stimuli The results also suggested that due to a significantly strong correlation among the inner side of the right foot and the left fingers, as well as the moderate correlations with the right and left wrists, the foot may be a suitable place to homogenously measure a GSR signal in a test group. The results indicated the most promising homogeneous places for measuring the GSR, namely, the left fingers and right foot. We experimented with the right and left wrist, left fingers, the inner side of the right foot using Shimmer3GSR and Empatica E4 sensors. Given the sparsity of studies related to the GSR and the variety of devices, this study was conducted at the Human Health Activity Laboratory (H2AL) with 17 healthy subjects to determine the variability in the detection of changes in the galvanic skin response among a test group with heterogeneous respondents facing pleasant and unpleasant stimuli, correlating the GSR biosignals measured from different body sites. The galvanic skin response (GSR also widely known as electrodermal activity (EDA)) is a signal for stress-related studies.
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