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» Activity Recognition using Optical Sensors on Mobile Phones
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IWSOS
2009
Springer
13 years 12 months ago
A Self-organizing Approach to Activity Recognition with Wireless Sensors
Abstract. In this paper, we describe an approach to activity recognition, which is based on a self-organizing, ad hoc network of body-worn sensors. It makes best use of the availab...
Clemens Holzmann, Michael Haslgrübler
ISMAR
2003
IEEE
13 years 10 months ago
ID CAM: A Smart Camera for Scene Capturing and ID Recognition
An ID recognition system is described that uses optical beacons and a high-speed image sensor. The ID sensor captures a scene like an ordinary camera and recognizes the ID of a be...
Nobuyuki Matsushita, Daisuke Hihara, Teruyuki Ushi...
AMI
2009
Springer
13 years 12 months ago
Increased Robustness in Context Detection and Reasoning Using Uncertainty Measures: Concept and Application
This paper reports on a novel recurrent fuzzy classification method for robust detection of context activities in an environment using either single or distributed sensors. It als...
Martin Berchtold, Michael Beigl
CHI
2007
ACM
14 years 5 months ago
iStuff mobile: rapidly prototyping new mobile phone interfaces for ubiquitous computing
iStuff Mobile is the first rapid prototyping framework that helps explore new sensor-based interfaces with existing mobile phones. It focuses on sensor-enhanced physical interface...
Rafael Ballagas, Faraz Memon, Rene Reiners, Jan O....
ISWC
2003
IEEE
13 years 10 months ago
SenSay: A Context-Aware Mobile Phone
SenSay is a context-aware mobile phone that adapts to dynamically changing environmental and physiological states. In addition to manipulating ringer volume, vibration, and phone ...
Daniel P. Siewiorek, Asim Smailagic, Junichi Furuk...