Demo abstract: eSense - Open Earable Platform for Human Sensing

Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari, Utku Günay Acer, Marc Van den Broeck

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

27 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationSenSys'18
Subtitle of host publicationProceedings of the 16th Conference on Embedded Networked Sensor Systems
Place of PublicationNew York, NY
PublisherACM
Pages371-372
Number of pages2
ISBN (Print)978-1-4503-5952-8
DOIs
Publication statusPublished - 2018
Event16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China
Duration: 4 Nov 20187 Nov 2018

Conference

Conference16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
Country/TerritoryChina
CityShenzhen
Period4/11/187/11/18

Keywords

  • Behaviour analysis
  • Earable
  • Human sensing

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