Papers Physiological Computing
“Physiological Computing” 태그가 달린 논문 12편 · 필터 해제
The EAVI EMG/EEG Board: Hybrid physiological sensing
We present an update on the EAVI physiological interface, a wireless, microcontroller based hardware design for the acquisition of bioelectrical signals. The system has been updated to process electroencephalogram brain …
EEGPhysiological ComputingIntegrating Physiological Data with Large Language Models for Empathic Human-AI Interaction
This paper explores enhancing empathy in Large Language Models (LLMs) by integrating them with physiological data. We propose a physiological computing approach that includes developing deep learning models that use phys…
ChatbotPhysiological ComputingOffline Risk-sensitive RL with Partial Observability to Enhance Performance in Human-Robot Teaming
The integration of physiological computing into mixed-initiative human-robot interaction systems offers valuable advantages in autonomous task allocation by incorporating real-time features as human state observations in…
Decision MakingPhysiological ComputingSequential Decision MakingState EstimationpyVHR: a Python framework for remote photoplethysmography
Remote photoplethysmography (rPPG) aspires to automatically estimate heart rate (HR) variability from videos in realistic environments. A number of effective methods relying on data-driven, model-based and statistical ap…
GPUHeart rate estimationHeart Rate VariabilityPhotoplethysmography (PPG)+2Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Physiological computing uses human physiological data as system inputs in real time. It includes, or significantly overlaps with, brain-computer interfaces, affective computing, adaptive automation, health informatics, a…
Physiological ComputingDetecting Video Game Player Burnout with the Use of Sensor Data and Machine Learning
Current research in eSports lacks the tools for proper game practising and performance analytics. The majority of prior work relied only on in-game data for advising the players on how to perform better. However, in-game…
BIG-bench Machine LearningInterpretable Machine LearningMultimodal Deep LearningPerson Re-Identification+6An Open Framework for Remote-PPG Methods and their Assessment
This paper presents a comprehensive framework for studying methods of pulse rate estimation relying on remote photoplethysmography (rPPG). There has been a remarkable development of rPPG techniques in recent years, and t…
Heart rate estimationPhotoplethysmography (PPG)Physiological ComputingPOSCollection and Validation of Psychophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset
Proper training and analytics in eSports require accurately collected and annotated data. Most eSports research focuses exclusively on in-game data analysis, and there is a lack of prior work involving eSports athletes' …
Feature ImportancePerson Re-IdentificationPhysiological ComputingReal-Time Strategy Games+4Physiological and Affective Computing through Thermal Imaging: A Survey
Thermal imaging-based physiological and affective computing is an emerging research area enabling technologies to monitor our bodily functions and understand psychological and affective needs in a contactless manner. How…
Physiological ComputingSurveyInstant Automated Inference of Perceived Mental Stress through Smartphone PPG and Thermal Imaging
Background: A smartphone is a promising tool for daily cardiovascular measurement and mental stress monitoring. A smartphone camera-based PhotoPlethysmoGraphy (PPG) and a low-cost thermal camera can be used to create che…
ClusteringMental Stress DetectionPhotoplethysmography (PPG)Physiological ComputingDeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings
We propose DeepBreath, a deep learning model which automatically recognises people's psychological stress level (mental overload) from their breathing patterns. Using a low cost thermal camera, we track a person's breath…
Data AugmentationMental Stress DetectionPhysiological ComputingRobust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging
The ability to monitor respiratory rate is extremely important for medical treatment, healthcare and fitness sectors. In many situations, mobile methods, which allow users to undertake every day activities, are required.…
Physiological ComputingQuantizationThermal Infrared Object Tracking