Demo abstract: eSense - Open Earable Platform for Human Sensing

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

doi:10.1145/3274783.3275188

Demo abstract: eSense - Open Earable Platform for Human Sensing

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

Internet of Things

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

23 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 language	English
Title of host publication	SenSys'18
Subtitle of host publication	Proceedings of the 16th Conference on Embedded Networked Sensor Systems
Place of Publication	New York, NY
Publisher	Association for Computing Machinery (ACM)
Pages	371-372
Number of pages	2
ISBN (Print)	978-1-4503-5952-8
DOIs	https://doi.org/10.1145/3274783.3275188
Publication status	Published - 2018
Event	16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 - Shenzhen, China Duration: 4 Nov 2018 → 7 Nov 2018

Conference

Conference	16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018
Country/Territory	China
City	Shenzhen
Period	4/11/18 → 7/11/18

Keywords

Behaviour analysis
Earable
Human sensing

Access to Document

10.1145/3274783.3275188

Cite this

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title = "Demo abstract: eSense - Open Earable Platform for Human Sensing",

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. ",

keywords = "Behaviour analysis, Earable, Human sensing",

author = "Fahim Kawsar and Chulhong Min and Akhil Mathur and Alessandro Montanari and Acer, {Utku G{\"u}nay} and {Van den Broeck}, Marc",

year = "2018",

doi = "10.1145/3274783.3275188",

language = "English",

isbn = "978-1-4503-5952-8",

pages = "371--372",

booktitle = "SenSys'18",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018 ; Conference date: 04-11-2018 Through 07-11-2018",

}

Kawsar, F, Min, C, Mathur, A, Montanari, A, Acer, UG & Van den Broeck, M 2018, Demo abstract: eSense - Open Earable Platform for Human Sensing. in SenSys'18 : Proceedings of the 16th Conference on Embedded Networked Sensor Systems. Association for Computing Machinery (ACM), New York, NY, pp. 371-372, 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018, Shenzhen, China, 4/11/18. https://doi.org/10.1145/3274783.3275188

Demo abstract: eSense - Open Earable Platform for Human Sensing. / Kawsar, Fahim; Min, Chulhong; Mathur, Akhil et al.
SenSys'18 : Proceedings of the 16th Conference on Embedded Networked Sensor Systems. New York, NY: Association for Computing Machinery (ACM), 2018. p. 371-372.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Demo abstract

T2 - 16th ACM Conference on Embedded Networked Sensor Systems, SENSYS 2018

AU - Kawsar, Fahim

AU - Min, Chulhong

AU - Mathur, Akhil

AU - Montanari, Alessandro

AU - Acer, Utku Günay

AU - Van den Broeck, Marc

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

KW - Behaviour analysis

KW - Earable

KW - Human sensing

UR - http://www.scopus.com/inward/record.url?scp=85061743649&partnerID=8YFLogxK

U2 - 10.1145/3274783.3275188

DO - 10.1145/3274783.3275188

M3 - Conference contribution

AN - SCOPUS:85061743649

SN - 978-1-4503-5952-8

SP - 371

EP - 372

BT - SenSys'18

PB - Association for Computing Machinery (ACM)

CY - New York, NY

Y2 - 4 November 2018 through 7 November 2018

ER -

Demo abstract: eSense - Open Earable Platform for Human Sensing

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