AIMC Topic: Galvanic Skin Response
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Skin Conductance-Based Acupoint and Non-Acupoint Recognition Using Machine Learning.
IEEE journal of biomedical and health informatics
May 6, 2024
Acupoints (APs) prove to have positive effects on disease diagnosis and treatment, while intelligent techniques for the automatic detection of APs are not yet mature, making them more dependent on manual positioning. In this paper, we realize the ski...
Enhancing thermal comfort prediction in high-speed trains through machine learning and physiological signals integration.
Journal of thermal biology
Mar 27, 2024
Heating, Ventilation, and Air Conditioning (HVAC) systems in high-speed trains (HST) are responsible for consuming approximately 70% of non-operational energy sources, yet they frequently fail to ensure provide adequate thermal comfort for the majori...
Factors Affecting Workers' Mental Stress in Handover Activities During Human-Robot Collaboration.
Human factors
Jan 12, 2024
OBJECTIVE: This study investigated the effects of different approach directions, movement speeds, and trajectories of a co-robot's end-effector on workers' mental stress during handover tasks.
User confidence and electrodermal activity during haptic exploration for perceptual comparisons using a robotic system.
Assistive technology : the official journal of RESNA
Jan 8, 2024
Children with physical impairments may have trouble effectively performing the hand movements used in haptic exploration and may miss information about object properties. Assistive robotic systems with haptic feedback may enable children with physica...
Exploring the impact of human-robot interaction on workers' mental stress in collaborative assembly tasks.
Applied ergonomics
Jan 5, 2024
Advances in robotics have contributed to the prevalence of human-robot collaboration (HRC). However, working and interacting with collaborative robots in close proximity can be psychologically stressful. Therefore, understanding the impacts of human-...
Conditioning to true content and artificial intelligence in psychophysiological intention recognition.
International journal of psychophysiology : official journal of the International Organization of Psychophysiology
Jan 4, 2024
OBJECTIVE: The objective is to introduce a novel method for classical conditioning to true content (CtTC), and for the first time, apply this approach in the concealed information test (CIT) to effectively discern intentions. During CtTC, participant...
Design and Evaluation of Deep Learning Models for Continuous Acute Pain Detection Based on Phasic Electrodermal Activity.
IEEE journal of biomedical and health informatics
Sep 6, 2023
The current method for assessing pain in clinical practice is subjective and relies on self-reported scales. An objective and accurate method of pain assessment is needed for physicians to prescribe the proper medication dosage, which could reduce ad...
Comparative Efficacy of Robotic and Manual Massage Interventions on Performance and Well-Being: A Randomized Crossover Trial.
Sports health
Aug 11, 2023
BACKGROUND: Manual massage (MM) interventions can improve psychophysiological states of relaxation and well-being. In this context, robotic massage (RM) represents a promising, but currently understudied, solution.
Efficient Feature-Selection-Based Stacking Model for Stress Detection Based on Chest Electrodermal Activity.
Sensors (Basel, Switzerland)
Jul 25, 2023
Contemporary advancements in wearable equipment have generated interest in continuously observing stress utilizing various physiological indicators. Early stress detection can improve healthcare by lessening the negative effects of chronic stress. Ma...
Wrist-Based Electrodermal Activity Monitoring for Stress Detection Using Federated Learning.
Sensors (Basel, Switzerland)
Apr 14, 2023
With the most recent developments in wearable technology, the possibility of continually monitoring stress using various physiological factors has attracted much attention. By reducing the detrimental effects of chronic stress, early diagnosis of str...
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