EMPress: Practical Hand Gesture Classification with Wrist-Mounted EMG and
Pressure Sensing
In-Air Gesture
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McIntosh, Jess
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McNeill, Charlie
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Fraser, Mike
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Kerber, Frederic
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Löchtefeld, Markus
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Krüger, Antonio
Proceedings of the ACM CHI'16 Conference on Human Factors in Computing
Systems
2016-05-07
v.1
p.2332-2342
© Copyright 2016 ACM
Summary: 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 technique senses both
finger movements and rotations around the wrist and forearm, covering a wide
range of gestures, with an overall 10-fold cross validation classification
accuracy of 96%. We show that EMG is especially suited to sensing finger
movements, that pressure is suited to sensing wrist and forearm rotations, and
their combination is significantly more accurate for a range of gestures than
either technique alone. The technique is well suited to existing wearable
device forms such as smart watches that are already mounted on the wrist.
The Cage: Towards a 6-DoF Remote Control with Force Feedback for UAV
Interaction
WIP Theme: Novel Interfaces and Interaction Techniques
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Anderson, Charlie
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Barash, Benji
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McNeill, Charlie
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Ogun, Denis
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Wray, Michael
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Knibbe, Jarrod
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Morris, Christopher H.
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Seah, Sue Ann
Extended Abstracts of the ACM CHI'15 Conference on Human Factors in
Computing Systems
2015-04-18
v.2
p.1687-1692
© Copyright 2015 ACM
Summary: 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 of a handle
suspended by eight lines, each coupled to a vertex, within a physical cuboid
cage. Each line in turn is connected to a stepper motor, allowing the pilot to
move and rotate the handle freely to control the UAV whilst obtaining accurate
directional force feedback. This feedback can both subtly and absolutely
constrain the control of the UAV to within the flight area thus preventing the
pilot from hazard collisions. We define 4 modes of force feedback and a range
of application areas. We then provide details of a proof-of-concept device and
suggest areas for future work.
