activity
20222026
most citedEnabling hand gesture customization on wrist-worn devices

81 citations · 84 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.HC2026

Negotiating Ontological Boundaries in User-Authored Personal Sensing Systems

Nava Haghighi, Danielle Olson, Halden Lin +4

Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over ho…

cs.HC2025

Towards AI-driven Sign Language Generation with Non-manual Markers

Han Zhang, Rotem Shalev-Arkushin, Vasileios Baltatzis +7

Sign languages are essential for the Deaf and Hard-of-Hearing (DHH) community. Sign language generation systems have the potential to support communication by translating from writ…

cs.HC2024

Moonwalk: Advancing Gait-Based User Recognition on Wearable Devices with Metric Learning

Asaf Liberman, Oron Levy, Soroush Shahi +5

Personal devices have adopted diverse authentication methods, including biometric recognition and passcodes. In contrast, headphones have limited input mechanisms, depending solely…

cs.HC20243 cited

Advancing Location-Invariant and Device-Agnostic Motion Activity Recognition on Wearable Devices

Rebecca Adaimi, Abdelkareem Bedri, Jun Gong +5

Wearable sensors have permeated into people's lives, ushering impactful applications in interactive systems and activity recognition. However, practitioners face significant obstac…

cs.HC2024

Vision-Based Hand Gesture Customization from a Single Demonstration

Soroush Shahi, Vimal Mollyn, Cori Tymoszek Park +6

Hand gesture recognition is becoming a more prevalent mode of human-computer interaction, especially as cameras proliferate across everyday devices. Despite continued progress in t…

cs.HC202281 cited

Enabling hand gesture customization on wrist-worn devices

Xuhai Xu, Jun Gong, Carolina Brum +13

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 de…