Wearable Hand Activity Recognition for Event Summarization

W Mayol-Cuevas; DW Murray

Wearable Hand Activity Recognition for Event Summarization

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

53 Citations (Scopus)

Abstract

In this paper we develop a first step towards the recognition of hand activity by detecting objects subject to manipulation, and use the results to build a visual summary of events. The motivation is to extract information from hand activity without requiring that the wearer is explicit as in gesture-based interaction. Our method uses simple image measurements within a probabilistic framework and allows real-time implementation.

Translated title of the contribution	Wearable Hand Activity Recognition for Event Summarization
Original language	English
Title of host publication	Unknown
Publisher	IEEE Computer Society
Publication status	Published - Oct 2005

Bibliographical note

Conference Proceedings/Title of Journal: International Symposium on Wearable Computers

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@inproceedings{e73aa16ebbe84a238dfb1b1fa2bcfa1f,

title = "Wearable Hand Activity Recognition for Event Summarization",

abstract = "In this paper we develop a first step towards the recognition of hand activity by detecting objects subject to manipulation, and use the results to build a visual summary of events. The motivation is to extract information from hand activity without requiring that the wearer is explicit as in gesture-based interaction. Our method uses simple image measurements within a probabilistic framework and allows real-time implementation. ",

author = "W Mayol-Cuevas and DW Murray",

note = "Conference Proceedings/Title of Journal: International Symposium on Wearable Computers",

year = "2005",

month = oct,

language = "English",

booktitle = "Unknown",

publisher = "IEEE Computer Society",

address = "United States",

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TY - GEN

T1 - Wearable Hand Activity Recognition for Event Summarization

AU - Mayol-Cuevas, W

AU - Murray, DW

N1 - Conference Proceedings/Title of Journal: International Symposium on Wearable Computers

PY - 2005/10

Y1 - 2005/10

N2 - In this paper we develop a first step towards the recognition of hand activity by detecting objects subject to manipulation, and use the results to build a visual summary of events. The motivation is to extract information from hand activity without requiring that the wearer is explicit as in gesture-based interaction. Our method uses simple image measurements within a probabilistic framework and allows real-time implementation.

AB - In this paper we develop a first step towards the recognition of hand activity by detecting objects subject to manipulation, and use the results to build a visual summary of events. The motivation is to extract information from hand activity without requiring that the wearer is explicit as in gesture-based interaction. Our method uses simple image measurements within a probabilistic framework and allows real-time implementation.

M3 - Conference Contribution (Conference Proceeding)

BT - Unknown

PB - IEEE Computer Society

ER -

Wearable Hand Activity Recognition for Event Summarization

Abstract

Bibliographical note

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