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Activity Recognition for the Digital Home
Computer, 2008Home networked devices enable a wide range of daily activities including multiplayer gaming, movie downloading, and music streaming as well as modern conveniences such as home automation, wireless networking, and Internet access. Nevertheless, for most of us the futuristic digital home we see in movies isn't a reality.
Jeonghwa Yang +2 more
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Improving the recognition of interleaved activities
Proceedings of the 10th international conference on Ubiquitous computing, 2008We introduce Interleaved Hidden Markov Models for recognizing multitasked activities. The model captures both inter-activity and intra-activity dynamics. Although the state space is intractably large, we describe an approximation that is both effective and efficient.
Joseph Modayil +2 more
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Kinesiologic electromyography for activity recognition
Proceedings of the 6th International Conference on PErvasive Technologies Related to Assistive Environments, 2013This paper presents a wearable system based on kinesiologic electromyography that recognizes the user activity in real time. In particular, the system recognizes the following five activities: "walking", "running", "cycling", "sitting" and "standing". We conducted a study in order to select the opportune muscles and sensors placement.
Maurizio Caon +5 more
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Hierarchical Models for Activity Recognition
2006 IEEE Workshop on Multimedia Signal Processing, 2006In this paper we propose a hierarchical dynamic Bayesian network to jointly recognize the activity and environment of a person. The hierarchical nature of the model allows us to implicitly learn data driven decompositions of complex activities into simpler sub-activities.
Amarnag Subramanya +3 more
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Active rangefinding and recognition with Cubicscope
1996An active rangefinding using the Cubicscope is described in the paper. The following topics are reviewed: the principle of the Cubicscope, 3-D shape reconstruction by multiple range images obtained from actively selected viewpoints, high-speed edge detection from range image, and polyhedral object recognition by adaptive viewpoint selection.
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Deep Learning for Sensor-based Human Activity Recognition
ACM Computing Surveys, 2022Kaixuan Chen, Dalin Zhang, Lina Yao
exaly
A Survey on Deep Learning for Human Activity Recognition
ACM Computing Surveys, 2022Fuqiang Gu +2 more
exaly
Human Activity Recognition: A review
2022 10th International Symposium on Digital Forensics and Security (ISDFS), 2022João Gonçalo Pereira +1 more
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