2013 · 184 citations · 41 references
EngineeringMechanical EngineeringRobotics EngineeringHuman-computer InteractionRoboticsSensorsEmbodied InteractionGesture RecognitionGesture-based InteractionSensor-based InteractionTactile SensingTangible User InterfacesControlled Experiment DesignGesture RecognizersGesture-based InterfacesInteractive Tangible ObjectsObjectsTouch Gesture RecognitionTouch InputTouch Sensing
In this paper, we present a novel acoustic touch sensing technique called Touch & Activate. It recognizes a rich context of touches including grasp on existing objects by attaching only a vibration speaker and a piezo-electric microphone paired as a sensor. It provides easy hardware configuration for prototyping interactive objects that have touch input capability. We conducted a controlled experiment to measure the accuracy and trade-off between the accuracy and number of training rounds for our technique. From its results, per-user recognition accuracies with five touch gestures for a plastic toy as a simple example and six hand postures for the posture recognition as a complex example were 99.6% and 86.3%, respectively. Walk up user recognition accuracies for the two applications were 97.8% and 71.2%, respectively. Since the results of our experiment showed a promising accuracy for the recognition of touch gestures and hand postures, Touch & Activate should be feasible for prototype interactive objects that have touch input capability.
41
Chih-Chung Chang, Chih‐Jen Lin · ACM Transactions on Intelligent Systems and Technology · 2011 · 41.3K citations
Shahram Izadi, David Kim, Otmar Hilliges et al. · 2011 · 2.1K citations
Chris Harrison, Desney Tan, Dan Morris · 2010 · 686 citations
Saul Greenberg, Chester Fitchett · 2001 · 648 citations