Sensor fusion using Dempster-Shafer theory [for context-aware HCI]

By Huadong Wu, M. Siegel, Rainer Stiefelhagen, Jie Yang. 2002

310 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Computer Vision and Pattern Recognition, Management Science and Operations Research

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Billy Pik Lik Lau
2. Chau Yuen
3. Sameer Singh
4. Yuren Zhou
5. Duncan Smith
6. Meng Zhang
7. Federico Castanedo
8. U-Xuan Tan

In Computer Vision and Pattern Recognition

1. Chau Yuen
2. Federico Castanedo

In Management Science and Operations Research

1. Federico Castanedo

Citations in the corpus

• A survey of data fusion in smart city applications (2019, methodology): “General techniques include Bayesian inference [66], Dempster-Shafer Inference [67], and semantic approaches [68]. anomaly detection [73] and others [38].”
• Approaches to Multisensor Data Fusion in Target Tracking: A Survey (2006, background): “[127] looked at multisensor data fusion from an omnidirectional camera and a microphone to detect the focus of attention of attendees at a meeting.”
• A Review of Data Fusion Techniques (2013, result): “Several studies in the literature have compared the use of the Bayesian inference and the Dempster-Shafer inference, such as [58–60].”