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

6 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
PublisherAssociation for Computing Machinery (ACM)
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
CountryChina
CityShenzhen
Period4/11/187/11/18

Keywords

  • Behaviour analysis
  • Earable
  • Human sensing

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