Human–Computer Interfaces (HCI) deals with the study of interface between humans and
computers. The use of radar and other RF sensors to develop HCI based on Hand Gesture …

As an application of fine-grained wireless sensing, RF-based material identification follows
the paradigm of RF computing that fetches the information during RF signal propagation …

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 introduce Pantomime, a novel mid-air gesture recognition system exploiting spatio-
temporal properties of millimeter-wave radio frequency (RF) signals. Pantomime is …

This paper presents the design, implementation and evaluation of milliMap, a single-chip
millimetre wave (mmWave) radar based indoor map** system targetted towards low …

Millimeter wave (mmWave) sensing promises to enable contactless and high-precision “in-
air” gesture-based human–computer interaction (HCI). While previous works have …

Target imaging and material identification play an important role in many real-life
applications. This paper introduces TagScan, a system that can identify the material type …

Capturing fine-grained hand activity could make computational experiences more powerful
and contextually aware. Indeed, philosopher Immanuel Kant argued," the hand is the visible …

Face authentication (FA) schemes are universally adopted. However, current FA systems
are mainly camera-based and hence susceptible to face occlusion (eg, facial masks) and …

Due to the development of short-range radar with high-resolution, the radar sensor has a
high potential to be used in real human-computer interaction (HCI) applications. The radar …