Continuous inference of psychological stress from sensory measurements collected in the natural environment

By K. Plarre, Andrew Raij, Syed Monowar Hossain, A. A. Ali, Motohiro Nakajima, Mustafa al'Absi, Emre Ertin, Thomas Kamarck, Santosh Kumar, Marcia Scott and 3 more. Proceedings of the 10th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2011

315 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6e205bdf37b58003fff5258fce10a5643db6f3ef

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Citations in the corpus

Introducing WESAD, a Multimodal Dataset for Wearable Stress and Affect Detection (2018, methodology): “Following Plarre et al. [20] the mean and standard deviation of the inhalation/exhalation ( µ I , σ I , µ E , and σ E ) were computed.”
Mobile Health Technology Evaluation (2013, background): “For instance, micro-payments can be provided at opportune moments to motivate protocol adherence,(35) and corrective actions can be initiated based on the detection of disturbances in adherence to the proper use of wearable technologies, such as loosening of wearable sensors.(9) These same technolog”
Olympus: Sensor Privacy through Utility Aware Obfuscation (2018, unknown): “Fine-grained collection of sensor data contains highly sensitive information about users: images and videos captured by cameras on smart phones could inadvertently include sensitive documents [42], and a user’s health status could be inferred from motion sensor data [40, 51].”
cStress: Towards a Gold Standard for Continuous Stress Assessment in the Mobile Environment (2015, methodology): “We follow the same protocol for the lab study as reported in [36].”
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support (2017, background): “Kumar and colleagues [113] provide a comprehensive review of these procedures, illustrating the process by which heart beat patterns captured by ECG and sensor-based data on respiration patterns can be used to classify stress episodes [114], conversations [115], and smoking puffs [116].”