Ambient and Wearable Sensor Fusion for Activity Recognition in Healthcare Monitoring Systems
By Julien Pansiot, Danail Stoyanov, D. McIlwraith, Benny P. L. Lo, G. Yang. 2007
111 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Wenxiu Ding
- Xuyang Jing
- Zheng Yan
- Laurence Tianruo Yang
- Ramez A. Elmasri
- Hyun Nam Lee
- Byoungyong Lee
- Kyungseo Park
Citations in the corpus
- A survey on data fusion in internet of things: Towards secure and privacy-preserving fusion (2019, methodology): “It can aim to classify the sitting, tidying, washing up dishes and so on, which gains a higher accuracy of 54% in case of sitting than [32].”
- Fusion Techniques for Reliable Information: A Survey (2010, background): “In [74], a robust framework, which integrates an ear-worn activity recognition sensor with ambient blob-based vision sensors, is proposed for enhanced activity recognition.”