Thumbs-Up - Wearable Sensing Device for Detecting Hand-to-Mouth Compulsive Habits

Asaph Azaria, Brian Mayton, Joseph Paradiso

2016

Abstract

Thumbs-Up explores a novel sensing method for detection of hand-to-mouth compulsive habits. Using electrical bio-impedance spectroscopy and inertial measurement units, a prototype system was implemented. The system can easily be worn around the arm and may perhaps be integrated into future wearable devices. It recognises occurrences of the habits in real-time, allowing monitoring and immediate interventions. These have so far been very limited, impeding behavioural studies and the development of therapeutic treatments. Throughout this paper the method’s feasibility is demonstrated and aspects of its performance are explored. We present an approach to process the bio-impedance signals and associate them with possible body postures. A positioning strategy optimises the device’s sensitivity and increases its efficacy. Machine learning algorithms are leveraged to infer the hand-to-mouth detection. We achieve 92% detection accuracy for recurrent usage and 90% accuracy for users that have not been previously encountered.

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Paper Citation


in Harvard Style

Azaria A., Mayton B. and Paradiso J. (2016). Thumbs-Up - Wearable Sensing Device for Detecting Hand-to-Mouth Compulsive Habits . In Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016) ISBN 978-989-758-170-0, pages 54-65. DOI: 10.5220/0005680900540065


in Bibtex Style

@conference{biodevices16,
author={Asaph Azaria and Brian Mayton and Joseph Paradiso},
title={Thumbs-Up - Wearable Sensing Device for Detecting Hand-to-Mouth Compulsive Habits},
booktitle={Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)},
year={2016},
pages={54-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005680900540065},
isbn={978-989-758-170-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, (BIOSTEC 2016)
TI - Thumbs-Up - Wearable Sensing Device for Detecting Hand-to-Mouth Compulsive Habits
SN - 978-989-758-170-0
AU - Azaria A.
AU - Mayton B.
AU - Paradiso J.
PY - 2016
SP - 54
EP - 65
DO - 10.5220/0005680900540065