Gesture Recognition

Multiwave: Complex Hand Gesture Recognition Using the Doppler Effect

We built an acoustic, gesture-based recognition system called Multiwave, which leverages the Doppler Effect to translate multidimensional movements into user interface commands.

Jackknife: A Reliable Reliable with Few Samples and Many Modalities

Our dynamic time warping based approach for both segmented and continuous data is designed to be a robust, go-to method for gesture recognition across a variety of modalities using only limited training samples.

Jackknife: A Reliable Reliable with Few Samples and Many Modalities

Those who design gesture recognizers and user interfaces often use data collection applications that enable users to comfortably produce gesture training samples. In contrast, games present unique contexts that impact cognitive load and have the …

A Rapid Prototyping Approach to Synthetic Data Generation for Improved 2D Gesture Recognition

We introduce a novel technique called gesture path stochastic resampling (GPSR) that is computationally efficient, has minimal coding overhead, and yet despite its simplicity is able to achieve higher accuracy than competitive, state-of-the-art approaches.

Multiwave: Doppler Effect Based Gesture Recognition in Multiple Dimensions

We present the results of a user study of Multiwave to evaluate recognition rates for different gestures and report accuracy rates comparable to or better than the current state of the art.

A $-Family Friendly Approach to Prototype Selection

We explore the benefits of intelligent prototype selection for $-family recognizers.