Action2Activity: Recognizing Complex Activities from Sensor Data

Liu, Ye; Nie, Liqiang; Han, Lei; Zhang, Luming; Rosenblum, David S.

Action2Activity: Recognizing Complex Activities from Sensor Data

Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum

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Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence. Main Track. Pages 1617-1622.

Abstract

As compared to simple actions, activities are much more complex, but semantically consistent with a human's real life. Techniques for action recognition from sensor generated data are mature. However, there has been relatively little work on bridging the gap between actions and activities. To this end, this paper presents a novel approach for complex activity recognition comprising of two components. The first component is temporal pattern mining, which provides a mid-level feature representation for activities, encodes temporal relatedness among actions, and captures the intrinsic properties of activities. The second component is adaptive Multi-Task Learning, which captures relatedness among activities and selects discriminant features. Extensive experiments on a real-world dataset demonstrate the effectiveness of our work.

Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, and David S. Rosenblum. 2015. Action2Activity: Recognizing Complex Activities from Sensor Data. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15. IJCAI, 1617–1622. https://ijcai.org/proceedings/2015/231

@inproceedings{ijcai2015p231,
  title     = {Action2Activity: Recognizing Complex Activities from Sensor Data},
  author    = {Liu, Ye and Nie, Liqiang and Han, Lei and Zhang, Luming and Rosenblum, David S.},
  booktitle = {Proceedings of the Twenty-Fourth International Joint Conference on
               Artificial Intelligence, {IJCAI-15}},
  publisher = {International Joint Conferences on Artificial Intelligence},
  editor    = {Qiang Yang and Michael Wooldridge},
  pages     = {1617--1622},
  year      = {2015},
  month     = {7},
  note      = {Main Track},
  url       = {https://ijcai.org/proceedings/2015/231},
}

TY  - CPAPER
TI  - Action2Activity: Recognizing Complex Activities from Sensor Data
AU  - Liu, Ye
AU  - Nie, Liqiang
AU  - Han, Lei
AU  - Zhang, Luming
AU  - Rosenblum, David S.
T2  - Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI-15
PB  - International Joint Conferences on Artificial Intelligence
PY  - 2015
SP  - 1617
EP  - 1622
UR  - https://ijcai.org/proceedings/2015/231
ER  -