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ICPR
2008
IEEE
14 years 2 months ago
Weightlessness feature - a novel feature for single tri-axial accelerometer based activity recognition
In this paper, a novel weightlessness feature for activity recognition from a tri-axial acceleration signals have been proposed. Since the orientation between accelerometer and us...
Zhenyu He, Zhibin Liu, Lianwen Jin, Li-Xin Zhen, J...
KI
2010
Springer
13 years 6 months ago
Towards High-Level Human Activity Recognition through Computer Vision and Temporal Logic
Most approaches to the visual perception of humans do not include high-level activity recognitition. This paper presents a system that fuses and interprets the outputs of several c...
Joris Ijsselmuiden, Rainer Stiefelhagen
SIGKDD
2010
259views more  SIGKDD 2010»
13 years 2 months ago
Activity recognition using cell phone accelerometers
Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS...
Jennifer R. Kwapisz, Gary M. Weiss, Samuel Moore
LOCA
2009
Springer
14 years 3 days ago
Activity Recognition from Sparsely Labeled Data Using Multi-Instance Learning
Abstract. Activity recognition has attracted increasing attention in recent years due to its potential to enable a number of compelling contextaware applications. As most approache...
Maja Stikic, Bernt Schiele
ACL
2004
13 years 9 months ago
Multi-Criteria-based Active Learning for Named Entity Recognition
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
Dan Shen, Jie Zhang, Jian Su, Guodong Zhou, Chew L...