Gesture elicitation studies represent a popular and resourceful method in HCI to inform the
design of intuitive gesture commands, reflective of end-users' behavior, for controlling all …

Human-machine interfaces enable the exchange of information between people and
machines, which plays a crucial role in artificial intelligence. In this field, sensors based on …

Given only acoustic signals without any high-level information, such as voices or sounds of
scenes/actions, how much can we infer about the behavior of humans? Unlike existing …

BeamBand is a wrist-worn system that uses ultrasonic beamforming for hand gesture
sensing. Using an array of small transducers, arranged on the wrist, we can ensem-ble …

In this paper, we present Acustico, a passive acoustic sensing approach that enables tap
detection and 2D tap localization on uninstrumented surfaces using a wrist-worn device. Our …

Finger gesture recognition is gaining great research interest for wearable device interactions
such as smartwatches and AR/VR headsets. In this paper, we propose a hands-free fine …

Augmented Reality tutorials, which provide necessary context by directly superimposing
visual guidance on the physical referent, represent an effective way of scaffolding complex …

We present GestEar, a gesture recognition method for sound-emitting gestures, such as
snap**, knocking, or clap**, using only a simple smartwatch. Besides the motion …

We present BezelGlide, a novel suite of bezel interaction techniques, designed to minimize
screen occlusion and 'fat finger'effects, when interacting with common graphs on …

Hand gestures provide a natural and easy-to-use way to input commands. However, few
works have studied the design space of bimanual hand gestures or attempted to infer …