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Wearable Biomedical Measurement Systems for Assessment of Mental Stress of Combatants in Real Time

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TLDR
The preliminary results obtained from the data analysis collected during the first phase of the ATREC project are presented, indicating the good classification performance exhibited when using features obtained from electrocardiographic recordings and electrical bioimpedance measurements from the thorax.
Abstract
The Spanish Ministry of Defense, through its Future Combatant program, has sought to develop technology aids with the aim of extending combatants' operational capabilities. Within this framework th ...

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Wearable sensors: modalities, challenges, and prospects

TL;DR: A deeper understanding of the fundamental challenges faced for wearable sensors and of the state-of-the-art for wearable sensor technology, the roadmap becomes clearer for creating the next generation of innovations and breakthroughs.
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Wearable Health Devices-Vital Sign Monitoring, Systems and Technologies.

TL;DR: This paper reviews important aspects in the WHDs area, listing the state-of-the-art of wearable vital signs sensing technologies plus their system architectures and specifications plus a resumed evolution of these devices based on the prototypes developed along the years.
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Towards an automatic early stress recognition system for office environments based on multimodal measurements

TL;DR: This work reviews and brings together the recent works carried out in the automatic stress detection looking over the measurements executed along the three main modalities, namely, psychological, physiological and behaviouralmodalities, in order to give hints about the most appropriate techniques to be used and thereby, to facilitate the development of such a holistic system.
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Increasing trend of wearables and multimodal interface for human activity monitoring: A review.

TL;DR: The study aims to review the increasing trends of wearable devices and need of multimodal recognition for continuous or discontinuous monitoring of human activity, biological signals such as Electroencephalogram (EEG), Electrooculogram (EOG), Electromyogram (EMG, Electrocardiogram (ECG) and parameters along with other symptoms.
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From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices

TL;DR: The main purpose of this paper is to present an overview of the state of the art to identify examples of sensor data fusion techniques that can be applied to the sensors available in mobile devices aiming to identify activities of daily living (ADL).
References
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Journal ArticleDOI

Measuring emotion: The self-assessment manikin and the semantic differential

TL;DR: Reports of affective experience obtained using SAM are compared to the Semantic Differential scale devised by Mehrabian and Russell (An approach to environmental psychology, 1974), which requires 18 different ratings.
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Dimensionality reduction using genetic algorithms

TL;DR: This work presents a new approach to feature extraction in which feature selection and extraction and classifier training are performed simultaneously using a genetic algorithm, and employs this technique in combination with the k nearest neighbor classification rule.
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Smart wearable systems: Current status and future challenges

TL;DR: The current research in wearable is examined to serve as references for researchers and provide perspectives for future research, focusing on multi-parameter physiological sensor systems and activity and mobility measurement system designs that reliably measure mobility or vital signs and integrate real-time decision support processing for disease prevention, symptom detection, and diagnosis.
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Discriminating Stress From Cognitive Load Using a Wearable EDA Device

TL;DR: Analysis of the discriminative power of electrodermal activity (EDA) in distinguishing stress from cognitive load in an office environment showed that the distributions of the EDA peak height and the instantaneous peak rate carry information about the stress level of a person.
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