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Estimating visual attention from a head mounted IMU

Published: 07 September 2015 Publication History

Abstract

This paper concerns with the evaluation of methods for the estimation of both temporal and spatial visual attention using a head-worn inertial measurement unit (IMU). Aimed at tasks where there is a wearer-object interaction, we estimate the when and the where the wearer is interested in. We evaluate various methods on a new egocentric dataset from 8 volunteers and compare our results with those achievable with a commercial gaze tracker used as ground-truth. Our approach is primarily geared for sensor-minimal EyeWear computing.

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MP4 File (p147-leelasawassuk.mp4)

References

[1]
Bulling, A., Roggen, D., and Tröster, G. Wearable EOG goggles: Seamless sensing and context-awareness in everyday environments. Journal of Ambient Intelligence and Smart Environments 1, 2 (May 2009), 157--171.
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Ishimaru, S., Kunze, K., Uema, Y., Kise, K., Inami, M., and Tanaka, K. Smarter eyewear: using commercial eog glasses for activity recognition. In UbiComp14 Adjunct (2014).
[3]
Land, M., Mennie, N., and Rusted, J. The roles of vision and eye movements in the control of activities of daily living. Perception 28, 11 (1999), 1311--1328.
[4]
Leelasawassuk, T., and Mayol-Cuevas, W. W. 3D from looking. In ISWC, ACM Press (2013), 105.
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Li, Y., Fathi, A., and Rehg, J. Learning to predict gaze in egocentric video. In ICCV (2013).
[6]
Ward, J. A., Lukowicz, P., Troster, G., and Starner, T. E. Activity recognition of assembly tasks using body-worn microphones and accelerometers. IEEE PAMI 28, 10 (2006), 1553--1567.
[7]
Yamada, K., Sugano, Y., Okabe, T., Sato, Y., Sugimoto, A., and Hiraki, K. Attention prediction in egocentric video using motion and visual saliency. In Adv in Image and Video Tech. 2012.

Cited By

View all
  • (2024)HeadTrack: Real-Time Human–Computer Interaction via Wireless EarphonesIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.334538142:4(990-1002)Online publication date: Apr-2024
  • (2024)EHTrack: Earphone-Based Head Tracking via Only Acoustic SignalsIEEE Internet of Things Journal10.1109/JIOT.2023.329841211:3(4063-4075)Online publication date: 1-Feb-2024
  • (2023)XAIR: A Framework of Explainable AI in Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581500(1-30)Online publication date: 19-Apr-2023
  • Show More Cited By

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Information

Published In

cover image ACM Conferences
ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers
September 2015
223 pages
ISBN:9781450335782
DOI:10.1145/2802083
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 September 2015

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  • Short-paper

Conference

UbiComp '15
Sponsor:
  • Yahoo! Japan
  • SIGMOBILE
  • FX Palo Alto Laboratory, Inc.
  • ACM
  • Rakuten Institute of Technology
  • Microsoft
  • Bell Labs
  • SIGCHI
  • Panasonic
  • Telefónica
  • ISTC-PC

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Overall Acceptance Rate 38 of 196 submissions, 19%

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Cited By

View all
  • (2024)HeadTrack: Real-Time Human–Computer Interaction via Wireless EarphonesIEEE Journal on Selected Areas in Communications10.1109/JSAC.2023.334538142:4(990-1002)Online publication date: Apr-2024
  • (2024)EHTrack: Earphone-Based Head Tracking via Only Acoustic SignalsIEEE Internet of Things Journal10.1109/JIOT.2023.329841211:3(4063-4075)Online publication date: 1-Feb-2024
  • (2023)XAIR: A Framework of Explainable AI in Augmented RealityProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581500(1-30)Online publication date: 19-Apr-2023
  • (2021)Predicting Gaze from Egocentric Social Interaction Videos and IMU DataProceedings of the 2021 International Conference on Multimodal Interaction10.1145/3462244.3479954(717-722)Online publication date: 18-Oct-2021
  • (2020)Incorporating Worker Awareness in the Generation of Hazard Proximity WarningsSensors10.3390/s2003080620:3(806)Online publication date: 2-Feb-2020
  • (2020)Ear-ARProceedings of the 26th Annual International Conference on Mobile Computing and Networking10.1145/3372224.3419213(1-14)Online publication date: 16-Apr-2020
  • (2019)Hotspot Modeling of Hand-Machine Interaction Experiences from a Head-Mounted RGB-D CameraIEICE Transactions on Information and Systems10.1587/transinf.2018EDP7146E102.D:2(319-330)Online publication date: 1-Feb-2019
  • (2018)I Can See Your Aim: Estimating User Attention from Gaze for Handheld Robot Collaboration2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)10.1109/IROS.2018.8594184(3897-3904)Online publication date: Oct-2018
  • (2017)Search training for people with visual field loss after stroke: A cohort studyBritish Journal of Occupational Therapy10.1177/030802261774348181:5(255-265)Online publication date: 19-Dec-2017
  • (2017)Automated capture and delivery of assistive task guidance with an eyewear computerProceedings of the 8th Augmented Human International Conference10.1145/3041164.3041185(1-9)Online publication date: 16-Mar-2017
  • Show More Cited By

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