Next Article in Journal
Experimental Study on Damage Identification of Nano-SiO2 Concrete Filled GFRP Tube Column Using Piezoceramic Transducers
Previous Article in Journal
Analysis of the Position Recognition of the Bucket Tip According to the Motion Measurement Method of Excavator Boom, Stick and Bucket
Previous Article in Special Issue
Facial Expression Recognition Based on Weighted-Cluster Loss and Deep Transfer Learning Using a Highly Imbalanced Dataset
Open AccessArticle

StressFoot: Uncovering the Potential of the Foot for Acute Stress Sensing in Sitting Posture

1
Augmented Human Lab, Auckland Bioengineering Institute, The University of Auckland, Auckland 1010, New Zealand
2
Department of Electrical Engineering and Computer Science, Technical University of Applied Sciences Lübeck, 23562 Lübeck, Germany
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2882; https://doi.org/10.3390/s20102882 (registering DOI)
Received: 16 April 2020 / Revised: 10 May 2020 / Accepted: 16 May 2020 / Published: 19 May 2020
Stress is a naturally occurring psychological response and identifiable by several body signs. We propose a novel way to discriminate acute stress and relaxation, using movement and posture characteristics of the foot. Based on data collected from 23 participants performing tasks that induced stress and relaxation, we developed several machine learning models to construct the validity of our method. We tested our models in another study with 11 additional participants. The results demonstrated replicability with an overall accuracy of 87%. To also demonstrate external validity, we conducted a field study with 10 participants, performing their usual everyday office tasks over a working day. The results showed substantial robustness. We describe ten significant features in detail to enable an easy replication of our models.
View Full-Text
Keywords: stress sensing; smart insoles; smart shoes; unobtrusive sensing; stress; center of pressure stress sensing; smart insoles; smart shoes; unobtrusive sensing; stress; center of pressure
Show Figures

Figure 1

MDPI and ACS Style

Elvitigala, D.S.; Matthies, D.J.C.; Nanayakkara, S. StressFoot: Uncovering the Potential of the Foot for Acute Stress Sensing in Sitting Posture. Sensors 2020, 20, 2882.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop