Demo abstract

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Demo abstract

eSense - Open Earable Platform for Human Sensing

Conference Paper (2018)

Author(s)

Fahim Kawsar (Nokia Bell Labs, TU Delft - Industrial Design Engineering)

Chulhong Min (Nokia Bell Labs)

Akhil Mathur (Nokia Bell Labs, University College London)

Alessandro Montanari (Nokia Bell Labs)

Utku Günay Acer (Nokia Bell Labs, Antwerp)

Marc Van den Broeck (Nokia Bell Labs, Antwerp)

Research Group

Knowledge and Intelligence Design

Earable Behaviour analysis Human sensing

DOI related publication

https://doi.org/10.1145/3274783.3275188 Final published version

To reference this document use

https://resolver.tudelft.nl/uuid:ffee6558-1745-4c67-9b15-d625bae06785

More Info

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Publication Year

2018

Language

English

Research Group

Knowledge and Intelligence Design

Pages (from-to)

371-372

ISBN (print)

978-1-4503-5952-8

Event

16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 (2018-11-04 - 2018-11-07), Shenzhen, China

Downloads counter

204

Abstract

We present eSense - an open and multi-sensory in-ear wearable platform for personal-scale behaviour analytics. eSense is a true wireless stereo (TWS) earbud and supports dual-mode Bluetooth and Bluetooth Low Energy. It is also augmented with a 6-axis inertial measurement unit and a microphone. We demonstrate the eSense platform, the data exploration tool with the open APIs for the real-time visualisation of multi-modal sensory data, and its manifestation in a 360 ^◦ workplace well-being application.