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Authors: Asaph Azaria ; Brian Mayton and Joseph Paradiso

Affiliation: Massachusetts Institute of Technology, United States

Keyword(s): Biomedical Computing, Bioimpedance, Sensor Applications, Artificial Intelligence, Wearable Computers.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Biomedical Instruments and Devices ; Devices ; Electrical Bio-Impedance ; Health Monitoring Devices ; Human-Computer Interaction ; Physiological Computing Systems

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. (More)

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Paper citation in several formats:
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 (BIOSTEC 2016) - BIODEVICES; ISBN 978-989-758-170-0; ISSN 2184-4305, SciTePress, pages 54-65. DOI: 10.5220/0005680900540065

@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 (BIOSTEC 2016) - BIODEVICES},
year={2016},
pages={54-65},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005680900540065},
isbn={978-989-758-170-0},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 9th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2016) - BIODEVICES
TI - Thumbs-Up - Wearable Sensing Device for Detecting Hand-to-Mouth Compulsive Habits
SN - 978-989-758-170-0
IS - 2184-4305
AU - Azaria, A.
AU - Mayton, B.
AU - Paradiso, J.
PY - 2016
SP - 54
EP - 65
DO - 10.5220/0005680900540065
PB - SciTePress

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