Head and eye movement can be leveraged to improve the user's interaction repertoire for
wearable displays. Head movements are deliberate and accurate, and provide the current …

Eye gaze involves the coordination of eye and head movement to acquire gaze targets, but
existing approaches to gaze pointing are based on eye-tracking in abstraction from head …

This study proposes a novel hands-free interaction method using multimodal gestures such
as eye gazing and head gestures and deep learning for human-robot interaction (HRI) in …

We propose HeadGesture, a hands-free input approach to interact with Head Mounted
Display (HMD) devices. Using HeadGesture, users do not need to raise their arms to …

We examine touchscreen stroke-gestures and mid-air motion-gestures articulated by users
with upper-body motor impairments with devices worn on the wrist, finger, and head. We …

We propose HeadCross, a head-based interaction method to select targets on VR and AR
head-mounted displays (HMD). Using HeadCross, users control the pointer with head …

Gaze-only input techniques in VR face the challenge of avoiding false triggering due to
continuous eye tracking while maintaining interaction performance. In this paper, we …

Recent research proposed eyelid gestures for people with upper-body motor impairments
(UMI) to interact with smartphones without finger touch. However, such eyelid gestures were …

Target disambiguation is a common problem in gaze interfaces, as eye tracking has
accuracy and precision limitations. In 3D environments this is compounded by objects …

Non-verbal communication plays a particularly important role in a wide range of scenarios in
Human-Robot Interaction (HRI). Accordingly, this work addresses the problem of human …