Ethan Eddy

schoolUniversity of New Brunswickbar_chart#4042 Global Rank

Total Papers

HCI Rank

#4042

Research Areas

Years Active

Recent Publications

Open, Accurate, and Calibration-Free Muscle-Computer Interfaces

Recent advances in muscle-computer interfaces (MCIs) have brought us closer to wearable EMG devices capable of accurate gesture recognition without the longstanding requirement for user-specific calibration data. However, much of this progress has relied on closed datasets, proprietary resources, and custom hardware,…

CHI '261st AuthorForce Feedback & Pseudo-Haptic Weight +3

TFTune: Creation and Personalization of Pointing Transfer Functions Using Reinforcement Learning

Pointing transfer functions define the mapping between input devices and onscreen cursor movement. Despite being used by millions daily, only marginal improvements in pointing performance have been achieved by tuning transfer functions since the introduction of acceleration-based gains. We present TFTune, a reinforcem…

CHI '231st AuthorElectrical Muscle Stimulation (EMS) +1

A Framework and Call to Action for the Future Development of EMG-Based Input in HCI

Electromyography (EMG) has been explored as an HCI input modality following a long history of success for prosthesis control. While EMG has the potential to address a range of hands-free interaction needs, it has yet to be widely accepted outside of prosthetics due to a perceived lack of robustness and intuitiveness.…

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