uWave: Accelerometer-based Personalized Gesture Rec- ognition

Accelerometer Based Real-Time Gesture Recognition

Gesture is a natural expression form for humans, but its recognition is a similarly hard problem as speech recognition. In this paper, I present a real-time hand gesture recognition system, which identifies relevant parts in the continous sensor data stream, and classifies them to the most probable gesture. Instead of the usual button-based segmentation, I have created an automatic segmentation...

Improving Hand-Gesture Re ognition via Video Based Methods for the Separation of the Forearm from the Human Hand

Stompboxes: Kicking the Habit

Sensor-based gesture recognition is investigated as a possible solution to the problem of managing an overwhelming number of audio effects in live guitar performances. A realtime gesture recognition system, which automatically toggles digital audio effects according to gestural information captured by an accelerometer attached to the body of a guitar, is presented. To supplement the several pre...

An accelerometer-based gesture recognition algorithm and its application for 3D interaction

This paper proposes an accelerometer-based gesture recognition algorithm. As a pre-process procedure, raw data output by accelerometer should be quantized, and then use discrete Hidden Markov Model to train and recognize them. Based upon this recognition algorithm, we treat gesture as a method of human-computer interaction and use it in 3D interaction subsystem in VR system named VDOM by follow...

"User Authentication Method and Implementation Using a Three-Axis Accelerometer"

The rapid growth of accelerometer use on consumer electronics has brought an opportunity for unique user authentication. We present an efficient recognition algorithm for such interaction using a single three-axis accelerometer. Unlike common user authentication methods which require memorizing complex phrases and are prone to physical attacks, our method requires a single training sample for a...