FEEL: A System for Frequent Event and Electrodermal Activity Labeling

Ayzenberg, Yadid; Picard, Rosalind W.

doi:10.1109/jbhi.2013.2278213

Cited by 19 publications

(9 citation statements)

References 24 publications

(22 reference statements)

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“…Wearable biophysiological sensors may enable us to measure how the environment and our experiences impact our physiology. An architecture and implementation of a system for the acquisition, processing, and visualization of biophysiological signals and contextual information has been presented [63]. The electrodermal activity wrist sensor worn by the users that measured their autonomic arousal.…”

Section: Types Of Activity Monitoring and Methodologiesmentioning

confidence: 99%

Wearable Sensors for Human Activity Monitoring: A Review

2015

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An increase in world population along with a significant aging portion is forcing rapid rises in healthcare costs. The healthcare system is going through a transformation in which continuous monitoring of inhabitants is possible even without hospitalization. The advancement of sensing technologies, embedded systems, wireless communication technologies, nano technologies, and miniaturization makes it possible to develop smart systems to monitor activities of human beings continuously. Wearable sensors detect abnormal and/or unforeseen situations by monitoring physiological parameters along with other symptoms. Therefore, necessary help can be provided in times of dire need. This paper reviews the latest reported systems on activity monitoring of humans based on wearable sensors and issues to be addressed to tackle the challenges.Index Terms-Wearable sensors, smart sensors, sensor networks, wireless sensor networks, body sensor networks, body area networks, activity monitoring, assisted living, smart home, physiological parameters monitoring.1530-437X He is currently a Professor of Sensing Technology with the School of Engineering and Advanced Technology, Massey University, Palmerston North, New Zealand. He has over 25 years of teaching and research experiences.His fields of interest include sensors and sensing technology, instrumenta-

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Section: Types Of Activity Monitoring and Methodologiesmentioning

confidence: 99%

Wearable Sensors for Human Activity Monitoring: A Review

2015

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“…In such scenarios, contextual information is required. An architecture and implementation of a system for acquiring, processing, and visualizing EDA and other biophysiological signals along with contextual information was developed [43]. Their results indicate that the system allowed the users to properly annotate contextual information to be used in the analysis of biophysiological signals.…”

Section: Tools For Scoring Eda and Recording Contextual Informationmentioning

confidence: 99%

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

Posada-Quintero

Chon

2020

Sensors

273

191

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The electrodermal activity (EDA) signal is an electrical manifestation of the sympathetic innervation of the sweat glands. EDA has a history in psychophysiological (including emotional or cognitive stress) research since 1879, but it was not until recent years that researchers began using EDA for pathophysiological applications like the assessment of fatigue, pain, sleepiness, exercise recovery, diagnosis of epilepsy, neuropathies, depression, and so forth. The advent of new devices and applications for EDA has increased the development of novel signal processing techniques, creating a growing pool of measures derived mathematically from the EDA. For many years, simply computing the mean of EDA values over a period was used to assess arousal. Much later, researchers found that EDA contains information not only in the slow changes (tonic component) that the mean value represents, but also in the rapid or phasic changes of the signal. The techniques that have ensued have intended to provide a more sophisticated analysis of EDA, beyond the traditional tonic/phasic decomposition of the signal. With many researchers from the social sciences, engineering, medicine, and other areas recently working with EDA, it is timely to summarize and review the recent developments and provide an updated and synthesized framework for all researchers interested in incorporating EDA into their research.

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“…Articles categorized as adopting a randomized-control research design have participants with the same background being randomly assigned to one of two study conditions. One article has been categorized as a crossover study [59], the participants have experienced both study conditions but in randomized order. The articles categorized as being observational are typically conducted in a controlled fashion during which data are collected.…”

Section: Qualitative Synthesismentioning

confidence: 99%

A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis

Kristoffersson

Lindén

2020

Sensors

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The use of wearable body sensors for health monitoring is a quickly growing field with the potential of offering a reliable means for clinical and remote health management. This includes both real-time monitoring and health trend monitoring with the aim to detect/predict health deterioration and also to act as a prevention tool. The aim of this systematic review was to provide a qualitative synthesis of studies using wearable body sensors for health monitoring. The synthesis and analysis have pointed out a number of shortcomings in prior research. Major shortcomings are demonstrated by the majority of the studies adopting an observational research design, too small sample sizes, poorly presented, and/or non-representative participant demographics (i.e., age, gender, patient/healthy). These aspects need to be considered in future research work.

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FEEL: A System for Frequent Event and Electrodermal Activity Labeling

Cited by 19 publications

References 24 publications

Wearable Sensors for Human Activity Monitoring: A Review

Wearable Sensors for Human Activity Monitoring: A Review

Innovations in Electrodermal Activity Data Collection and Signal Processing: A Systematic Review

A Systematic Review on the Use of Wearable Body Sensors for Health Monitoring: A Qualitative Synthesis

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