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AGACY Monitoring: a hybrid model for activity recognition and uncertainty handling
Published on Jul 10, 2017997 Views
Acquiring an ongoing human activity from raw sensor data is a challenging problem in pervasive systems. Earlier, research in this field has mainly adopted data-driven or knowledge based techniques for
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Chapter list
AGACY Monitoring00:00
Outline00:21
Motivation00:50
Problematic01:33
State of the art for activity recognotion02:15
State of the art for activity recognotion - 103:37
The proposed solution: The propsed model04:31
Semantic Layer: Semantic Reasonning05:59
Semantic Layer: Semantic Reasonning - 107:22
The proposed solution: The model07:47
Data driven Layer:Time and Uncertainty based features extraction08:01
Data driven Layer:Dempster-shafer for activity classification08:56
Evaluation10:11
AGACY monitoring: Dataset10:14
AGACY-Monitoring: Experiments11:40
AGACY-Monitoring: Experiments - 112:22
AGACY-Monitoring: Experiments - 213:07
AGACY-Monitoring: Experiments - 313:28
Conclusions and future work14:22
Thank you15:00