Multi-Sensor Context-Awareness in Mobile Devices and Smart Artifacts

By Hans-Werner Gellersen, Albrecht Schmidt, Michael Beigl. Mob. Networks Appl., 2002

510 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, Transportation

View Paper: https://www.semanticscholar.org/paper/8868ae2fabf69974a10f994bb23a9fc1d8be6942

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

1. Jadwiga Indulska
2. Karen Henricksen
3. Diane Joyce Cook
4. C. Nugent
5. Zhiwen Yu
6. Jesse Hoey
7. Daniela Nicklas
8. Oliver Brdiczka

In Electrical and Electronic Engineering

1. Diane Joyce Cook
2. C. Nugent
3. Narayanan Chatapuram Krishnan

In Transportation

1. Diane Joyce Cook
2. Jesse Hoey
3. Anand Ranganathan

Citations in the corpus

• Intelligent Products: A survey (2009, background): “[32] look at how to integrate sensors in mobile devices, in such a way that the context of the device can improve user interaction and support new types of applications.”
• Improving energy efficiency of location sensing on smartphones (2010, background): “Many approaches have been proposed to combine the information obtained from sensors including Bluetooth, accelerometer, audio, camera and GPS [16, 20, 24, 28, 35].”
• A survey of context modelling and reasoning techniques (2010, background): “Situational context [45] and situation [15,46] are the most common ones.”
• Sensor-Based Activity Recognition (2012, background): “This practice has been in place for a while [39], [40] and is expected to”