Improving motion-based activity recognition with ego-centric vision
Diete, Alexander
;
Sztyler, Timo
;
Weiland, Lydia
;
Stuckenschmidt, Heiner
DOI:
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https://doi.org/10.1109/PERCOMW.2018.8480334
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URL:
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https://ieeexplore.ieee.org/document/8480334
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Document Type:
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Conference or workshop publication
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Year of publication:
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2018
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Book title:
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2018 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2018 : Athens, Greece, March 19-23, 2018
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Page range:
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448-491
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Conference title:
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PerCom 2018 workshops
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Location of the conference venue:
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Athens, Greece
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Date of the conference:
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19.-23.03.2018
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Place of publication:
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Piscataway, NJ
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Publishing house:
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IEEE Computer Society
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ISBN:
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978-1-5386-3228-4 , 978-1-5386-3227-7 , 978-1-5386-3226-0
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Publication language:
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English
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Institution:
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School of Business Informatics and Mathematics > Practical Computer Science II: Artificial Intelligence (Stuckenschmidt 2009-)
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Subject:
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004 Computer science, internet
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Abstract:
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Human activity recognition using wearable computers is an active area of research in pervasive computing. Existing works mainly focus on the recognition of physical activities or so called activities of daily living by relying on inertial or interaction sensors. A main issue of those studies is that they often focus on critical applications like health care but without any evidence that the monitored activities really took place. In our work, we aim to overcome this limitation and present a multi-modal egocentric-based activity recognition approach which is able to recognize the critical objects. As it is unfeasible to expect always a high quality camera view, we enrich the vision features with inertial sensor data that represents the users' arm movement. This enables us to compensate the weaknesses of the respective sensors. We present first results of our ongoing work on this topic.
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| Dieser Eintrag ist Teil der Universitätsbibliographie. |
Search Authors in
BASE:
Diete, Alexander
;
Sztyler, Timo
;
Weiland, Lydia
;
Stuckenschmidt, Heiner
Google Scholar:
Diete, Alexander
;
Sztyler, Timo
;
Weiland, Lydia
;
Stuckenschmidt, Heiner
ORCID:
Diete, Alexander, Sztyler, Timo, Weiland, Lydia and Stuckenschmidt, Heiner ORCID: https://orcid.org/0000-0002-0209-3859
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