Enabling fast and effortless customisation in accelerometer based gesture interaction
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
Accelerometer-based gesture control for a design environment
Personal and Ubiquitous Computing
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Gesture recognition with a Wii controller
Proceedings of the 2nd international conference on Tangible and embedded interaction
Design and development of an everyday hand gesture interface
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Activity recognition from accelerometer data
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
TouchPosing: multi-modal interaction with geospatial data
Proceedings of the 11th International Conference on Mobile and Ubiquitous Multimedia
Ambient interaction by smart watches
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments
Airwriting: a wearable handwriting recognition system
Personal and Ubiquitous Computing
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In this paper we present an approach for recognizing free-handed gestures using an embedded wireless accelerometric bracelet. We developed a very low complexity algorithm which can be directly implemented on the device and operate in real-time. New gestures can be easily added through supervised learning. An evaluation shows the feasibility of our approach. Simple gestures are detected and recognized at a very high rate ( 97%) while more complex ones were misclassified more often (48% --- 95%).