Tootfinder

This https://arxiv.org/abs/2311.15361 has been replaced.
link: https://scholar.google.com/scholar?q=a

Ultra-Range Gesture Recognition using a Web-Camera in Human-Robot Interaction
Hand gestures play a significant role in human interactions where non-verbal intentions, thoughts and commands are conveyed. In Human-Robot Interaction (HRI), hand gestures offer a similar and efficient medium for conveying clear and rapid directives to a robotic agent. However, state-of-the-art vision-based methods for gesture recognition have been shown to be effective only up to a user-camera distance of seven meters. Such a short distance range limits practical HRI with, for example, servic…

iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing
Mengxi Liu, Hymalai Bello, Bo Zhou, Paul Lukowicz, Jakob Karolus
https://arxiv.org/abs/2403.18433

iFace: Hand-Over-Face Gesture Recognition Leveraging Impedance Sensing
Hand-over-face gestures can provide important implicit interactions during conversations, such as frustration or excitement. However, in situations where interlocutors are not visible, such as phone calls or textual communication, the potential meaning contained in the hand-over-face gestures is lost. In this work, we present iFace, an unobtrusive, wearable impedance-sensing solution for recognizing different hand-over-face gestures. In contrast to most existing works, iFace does not require th…

Feminist Interaction Techniques: Deterring Non-Consensual Screenshots with Interaction Techniques
Li Qiwei, Francesca Lameiro, Shefali Patel, Cristi-Isaula-Reyes, Eytan Adar, Eric Gilbert, Sarita Schoenebeck
https://arxiv.org/abs/2404.18867

Feminist Interaction Techniques: Deterring Non-Consensual Screenshots with Interaction Techniques
Non-consensual Intimate Media (NCIM) refers to the distribution of sexual or intimate content without consent. NCIM is common and causes significant emotional, financial, and reputational harm. We developed Hands-Off, an interaction technique for messaging applications that deters non-consensual screenshots. Hands-Off requires recipients to perform a hand gesture in the air, above the device, to unlock media -- which makes simultaneous screenshotting difficult. A lab study shows that Hands-Off …

This https://arxiv.org/abs/2309.07289 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

User Training with Error Augmentation for Electromyogram-based Gesture Classification
We designed and tested a system for real-time control of a user interface by extracting surface electromyographic (sEMG) activity from eight electrodes in a wrist-band configuration. sEMG data were streamed into a machine-learning algorithm that classified hand gestures in real-time. After an initial model calibration, participants were presented with one of three types of feedback during a human-learning stage: veridical feedback, in which predicted probabilities from the gesture classificatio…