2015 · 101 citations · 8 references
ComputingComputer ScienceMechatronics EngineeringHuman-computer InteractionMotor ControlSensorsEmbodied InteractionMixed RealityMotion CaptureMuscle Signal ProcessingElectromyography InputElectromyography-based Human-computer InteractionGesture InterfacesInertial Measurement Unit (Imu) SensingPointingPointing MovementsPointing SystemsSensing
We describe a mid-air, barehand pointing and clicking interaction technique using electromyographic (EMG) and inertial measurement unit (IMU) input from a consumer armband device. The technique uses enhanced pointer feedback to convey state, a custom pointer acceleration function tuned for angular inertial motion, and correction and filtering techniques to minimize side-effects when combining EMG and IMU input. By replicating a previous large display study using a motion capture pointing technique, we show the EMG and IMU technique is only 430 to 790 ms slower and has acceptable error rates for targets greater than 48 mm. Our work demonstrates that consumer-level EMG and IMU sensing is practical for distant pointing and clicking on large displays.
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David Kim, Otmar Hilliges, Shahram Izadi et al. · 2012 · 426 citations
Engineering, Mechatronics Engineering, Robotics Engineering +12
Enabling always-available input with muscle-computer interfaces
T. Scott Saponas, Desney Tan, Dan Morris et al. · 2009 · 322 citations
Acceleration sensing glove (ASG)
J.K. Perng, Brian M. Fisher, S. Hollar et al. · 2003 · 152 citations
Engineering, Mechatronics Engineering, Assistive Technology +15