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Wearable sensing to annotate meeting recordings

Authors:

Gerhard TrösterAuthors Info & Claims

Personal and Ubiquitous Computing, Volume 7, Issue 5

Pages 263 - 274

https://doi.org/10.1007/s00779-003-0242-y

Published: 01 October 2003 Publication History

Abstract

We propose to use wearable computers and sensor systems to generate personal contextual annotations in audio visual recordings of meetings. In this paper, we argue that such annotations are essential and effective to allow the retrieval of relevant information from large audio-visual databases. The paper proposes several useful annotations that can be derived from cheap and unobtrusive sensors. It also describes a hardware platform designed to implement accelerometric activity recognition, outlines approaches to extract annotations and presents first experimental results.

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Cited By

Choi JConstantinides MJoglekar SQuercia D(2021)KAIROSProceedings of the 22nd International Workshop on Mobile Computing Systems and Applications10.1145/3446382.3448361(30-36)Online publication date: 24-Feb-2021
https://dl.acm.org/doi/10.1145/3446382.3448361
Hassan MUddin MMohamed AAlmogren A(2018)A robust human activity recognition system using smartphone sensors and deep learningFuture Generation Computer Systems10.1016/j.future.2017.11.02981:C(307-313)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1016/j.future.2017.11.029
Hassan MHuda SUddin MAlmogren AAlrubaian M(2018)Human Activity Recognition from Body Sensor Data using Deep LearningJournal of Medical Systems10.1007/s10916-018-0948-z42:6(1-8)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s10916-018-0948-z
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Wearable sensing to annotate meeting recordings

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cover image Personal and Ubiquitous Computing

Personal and Ubiquitous Computing Volume 7, Issue 5

October 2003

86 pages

ISSN:1617-4909

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Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 01 October 2003

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Cited By

Choi JConstantinides MJoglekar SQuercia D(2021)KAIROSProceedings of the 22nd International Workshop on Mobile Computing Systems and Applications10.1145/3446382.3448361(30-36)Online publication date: 24-Feb-2021
https://dl.acm.org/doi/10.1145/3446382.3448361
Hassan MUddin MMohamed AAlmogren A(2018)A robust human activity recognition system using smartphone sensors and deep learningFuture Generation Computer Systems10.1016/j.future.2017.11.02981:C(307-313)Online publication date: 1-Apr-2018
https://dl.acm.org/doi/10.1016/j.future.2017.11.029
Hassan MHuda SUddin MAlmogren AAlrubaian M(2018)Human Activity Recognition from Body Sensor Data using Deep LearningJournal of Medical Systems10.1007/s10916-018-0948-z42:6(1-8)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s10916-018-0948-z
Tabatabaee Malazi HDavari M(2018)Combining emerging patterns with random forest for complex activity recognition in smart homesApplied Intelligence10.1007/s10489-017-0976-248:2(315-330)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s10489-017-0976-2
Yao LNie FSheng QGu TLi XWang SLukowicz PKrüger ABulling ALim YPatel S(2016)Learning from less for betterProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing10.1145/2971648.2971701(13-24)Online publication date: 12-Sep-2016
https://dl.acm.org/doi/10.1145/2971648.2971701
Ruan WChea LSheng QYao L(2016)Recognizing Daily Living Activity Using Embedded Sensors in Smartphones: A Data-Driven ApproachAdvanced Data Mining and Applications10.1007/978-3-319-49586-6_17(250-265)Online publication date: 12-Dec-2016
https://dl.acm.org/doi/10.1007/978-3-319-49586-6_17
Yao LBenatallah BWang XTran NLu Q(2016)Context as a Service: Realizing Internet of Things-Aware Processes for the Independent Living of the ElderlyService-Oriented Computing10.1007/978-3-319-46295-0_54(763-779)Online publication date: 10-Oct-2016
https://dl.acm.org/doi/10.1007/978-3-319-46295-0_54
Yao LSheng QRuan WGu TLi XFalkner NYang Z(2015)RF-Care: Device-Free Posture Recognition for Elderly People Using A Passive RFID Tag Arrayproceedings of the 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services on 12th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services10.4108/eai.22-7-2015.2260064(120-129)Online publication date: 11-Aug-2015
https://dl.acm.org/doi/10.4108/eai.22-7-2015.2260064
Yu ZNakamura Y(2010)Smart meeting systemsACM Computing Surveys10.1145/1667062.166706542:2(1-20)Online publication date: 5-Mar-2010
https://dl.acm.org/doi/10.1145/1667062.1667065
Khan ALee YLee SKim T(2010)A triaxial accelerometer-based physical-activity recognition via augmented-signal features and a hierarchical recognizerIEEE Transactions on Information Technology in Biomedicine10.1109/TITB.2010.205195514:5(1166-1172)Online publication date: 1-Sep-2010
https://dl.acm.org/doi/10.1109/TITB.2010.2051955
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