Hands are vital in a wide range of fundamental daily activities, and neurological diseases
that impede hand function can significantly affect quality of life. Wearable hand gesture …

With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

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 …

This paper proposes a novel machine learning architecture, specifically designed for radio-
frequency based gesture recognition. We focus on high-frequency (60] GHz), short-range …

We present Tomo, a wearable, low-cost system using Electrical Impedance Tomography
(EIT) to recover the interior impedance geometry of a user's arm. This is achieved by …

Smartwatches and wearables are unique in that they reside on the body, presenting great
potential for always-available input and interaction. Their position on the wrist makes them …

We present a framework for gesture customization requiring minimal examples from users,
all without degrading the performance of existing gesture sets. To achieve this, we first …

Digits is a wrist-worn sensor that recovers the full 3D pose of the user's hand. This enables a
variety of freehand interactions on the move. The system targets mobile settings, and is …

Gestures, widely accepted as a humans' natural mode of interaction with their surroundings,
have been considered for use in human-computer based interfaces since the early 1980s …

While most wearable gesture recognition approaches focus on the forearm or fingers, the
wrist may be a more suitable location for practical use. We present the design and validation …