Charlie McNeill

Learn More
Practical wearable gesture tracking requires that sensors align with existing ergonomic device forms. We show that combining EMG and pressure data sensed only at the wrist can support accurate classification of hand gestures. A pilot study with unintended EMG electrode pressure variability led to exploration of the approach in greater depth. The EMPress(More)
We investigate one-handed, same-side gestural interactions with wrist-worn devices. We contribute results of an elicitation study with 26 participants from various backgrounds to learn about gestures people would like to do when only able to interact using the arm on which they wear the device, e.g. while carrying something in the opposite hand. Based on(More)
Unmanned Aerial Vehicles (UAVs) require complex control and significant experience for piloting. While these devices continue to improve, there is, as yet, no device that affords six degrees of freedom (6-DoF) control and directional haptic feedback. We present The Cage, a 6-DoF controller for piloting an unmanned aerial vehicle (UAV). The Cage is comprised(More)
  • 1