Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

Zahraa S. Abdallah; Shonali Krishnaswamy; Mohamed M. Gaber; B Srinivasan

Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

Zahraa S. Abdallah
, Shonali Krishnaswamy
, Mohamed M. Gaber
, B Srinivasan

Infection and Immunity

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

Abstract

Activity recognition has become one of the emerging applications in the area of ubiquitous computing. This research aims at leveraging ubiquitous data stream mining and context reasoning for mobile activity recognition. The novel system allows dynamic adaptation and personalisation of the learning model to reflect the realistic activity changes emerged over time. Sensors fusion to attain a context aware activity recognition is also a key contribution in this project.

Original language	English
Title of host publication	Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012
Publication status	Published - 2012

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@inproceedings{02d61b22262942929282e1ad5ddba226,

title = "Mobile activity recognition using contextual reasoning and ubiquitous data stream processing",

abstract = "Activity recognition has become one of the emerging applications in the area of ubiquitous computing. This research aims at leveraging ubiquitous data stream mining and context reasoning for mobile activity recognition. The novel system allows dynamic adaptation and personalisation of the learning model to reflect the realistic activity changes emerged over time. Sensors fusion to attain a context aware activity recognition is also a key contribution in this project.",

author = "Abdallah, \{Zahraa S.\} and Shonali Krishnaswamy and Gaber, \{Mohamed M.\} and B Srinivasan",

year = "2012",

language = "English",

booktitle = "Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012",

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TY - GEN

T1 - Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

AU - Abdallah, Zahraa S.

AU - Krishnaswamy, Shonali

AU - Gaber, Mohamed M.

AU - Srinivasan, B

PY - 2012

Y1 - 2012

N2 - Activity recognition has become one of the emerging applications in the area of ubiquitous computing. This research aims at leveraging ubiquitous data stream mining and context reasoning for mobile activity recognition. The novel system allows dynamic adaptation and personalisation of the learning model to reflect the realistic activity changes emerged over time. Sensors fusion to attain a context aware activity recognition is also a key contribution in this project.

AB - Activity recognition has become one of the emerging applications in the area of ubiquitous computing. This research aims at leveraging ubiquitous data stream mining and context reasoning for mobile activity recognition. The novel system allows dynamic adaptation and personalisation of the learning model to reflect the realistic activity changes emerged over time. Sensors fusion to attain a context aware activity recognition is also a key contribution in this project.

UR - https://research.monash.edu/en/publications/2371b88d-4f76-4954-89b6-dfc570d1837d

M3 - Conference Contribution (Conference Proceeding)

BT - Australasian Computing Doctoral Consortium (ACDC 2012), 30th January 2012

ER -

Mobile activity recognition using contextual reasoning and ubiquitous data stream processing

Abstract

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