UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

ZOE: A cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation

Lane, ND; Georgiev, P; Mascolo, C; Gao, Y; (2015) ZOE: A cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation. In: Borriello, G and Pau, G and Gruteser, M and Hong, J, (eds.) MobiSys '15: Proceedings of the 13th Annual International Conference on Mobile Systems, Applications, and Services. (pp. pp. 273-286). Association for Computing Machinery (ACM): New York, NY, USA. Green open access

[thumbnail of Lane et al 2015 The 13th International Conference on Mobile Systems, Applications, and Services.pdf]
Preview
Text
Lane et al 2015 The 13th International Conference on Mobile Systems, Applications, and Services.pdf - Published version

Download (4MB) | Preview

Abstract

The wearable revolution, as a mass-market phenomenon, has finally arrived. As a result, the question of how wearables should evolve over the next 5 to 10 years is assuming an increasing level of societal and commercial importance. A range of open design and system questions are emerging, for instance: How can wearables shift from being largely health and fitness focused to tracking a wider range of life events? What will become the dominant methods through which users interact with wearables and consume the data collected? Are wearables destined to be cloud and/or smartphone dependent for their operation? Towards building the critical mass of understanding and experience necessary to tackle such questions, we have designed and implemented ZOE - a match-box sized (49g) collar- or lapel-worn sensor that pushes the boundary of wearables in an important set of new directions. First, ZOE aims to perform multiple deep sensor inferences that span key aspects of everyday life (viz. personal, social and place information) on continuously sensed data; while also offering this data not only within conventional analytics but also through a speech dialog system that is able to answer impromptu casual questions from users. (Am I more stressed this week than normal?) Crucially, and unlike other rich-sensing or dialog supporting wearables, ZOE achieves this without cloud or smartphone support - this has important side-effects for privacy since all user information can remain on the device. Second, ZOE incorporates the latest innovations in system-on-a-chip technology together with a custom daughter-board to realize a three-tier low-power processor hierarchy. We pair this hardware design with software techniques that manage system latency while still allowing ZOE to remain energy efficient (with a typical lifespan of 30 hours), despite its high sensing workload, small form-factor, and need to remain responsive to user dialog requests.

Type: Proceedings paper
Title: ZOE: A cloud-less dialog-enabled continuous sensing wearable exploiting heterogeneous computation
Event: 13th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys '15)
ISBN-13: 9781450334945
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/2742647.2742672
Publisher version: http://dx.doi.org/10.1145/2742647.2742672
Language: English
Additional information: Copyright © 2015 ACM.
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/1503681
Downloads since deposit
77Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item