Learning Setting-Generalized Activity Models for Smart Spaces
By Diane Joyce Cook. 2010
480 citations recorded by the source corpus.
Smart home activity recognition systems can learn generalized models for common activities that span multiple environment settings and resident types.
Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Narayanan Chatapuram Krishnan
- Laurence Tianruo Yang
- Zheng Yan
- Wenxiu Ding
- Xuyang Jing
- Diane Joyce Cook
- Kyle D. Feuz
- C. Nugent
In Electrical and Electronic Engineering
- Narayanan Chatapuram Krishnan
- Laurence Tianruo Yang
- Zheng Yan
- Wenxiu Ding
- Xuyang Jing
- Diane Joyce Cook
- C. Nugent
Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “5 - - - - - - - - N N N [69] Context Inference Noise, ultrasonic, ultrasonic sensor data D-S theory Y - - - - - - - - - - Y - [38] Intelligent controller Infrared presence detector, contact sensors, cameras, microphones MLK 15 actors to produce data for 11 hours Y N 73 - - - - - - - - N N N [70] Act”
- Transfer Learning for Activity Recognition: A Survey (2013, background): “[14] Ambient sensors Location, layout, people US Featurerepresentation”
- A Survey on Ambient Intelligence in Health Care (2013, unknown): “environmental setting [49], [82], [83], or new activity labels [84].”
- Sensor-Based Activity Recognition (2012, background): “Initial findings, which are in line with the findings from [132], have found out that the accuracy of different recognition approaches varies dramatically between datasets.”
- Simple and Complex Activity Recognition through Smart Phones (2012, result): “The results for simple activities are at par with previous work on body sensors [3].”
- Activity Recognition on Streaming Sensor Data (2012, methodology): “Environment sensors such as infra red based motion detectors or reed switches based door sensors have also been used for gathering information about a more general set of ADLs such as cook, leave home, sleep, eat, etc; as explored by others [17][18][19][20].”