This paper presents Soli, a new, robust, high-resolution, low-power, miniature gesture
sensing technology for human-computer interaction based on millimeter-wave radar. We …

Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …

Abstract In recent years Dynamic Time Warping (DTW) has emerged as the distance
measure of choice for virtually all time series data mining applications. For example, virtually …

Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …

Abstract The Gesture Recognition Toolkit is a cross-platform open-source C++ library
designed to make real-time machine learning and gesture recognition more accessible for …

Highlights•Machine learning to detect emotions using non-invasive sensors in design
teams.•Effectiveness of approach illustrated with case study.•High accuracy over 90 …

Being aware of mutual influences between individuals is a major requirement a robot to
efficiently operate in human populated environments. This is especially true for the …

This chapter presents an overview of Interactive Machine Learning (IML) techniques applied
to the analysis and design of musical gestures. We go through the main challenges and …

Gesture recognition opens up new ways for humans to intuitively interact with machines.
Especially for service robots, gestures can be a valuable addition to the means of …

Gestures in music are of paramount importance partly because they are directly linked to
musicians' sound and expressiveness. At the same time, current motion capture …