Plug-and-Play Gesture Control Using Muscle and Motion Sensors

As the capacity for machines to extend human capabilities continues to grow, the communication channels used must also expand. Allowing machines to interpret nonverbal commands such as gestures can help make interactions more similar to interactions with another person. Yet to be pervasive and effec...

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Veröffentlicht in:	2020 15th ACM/IEEE International Conference on Human-Robot Interaction (HRI) S. 439 - 448
Hauptverfasser:	DelPreto, Joseph, Rus, Daniela
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	New York, NY, USA ACM 09.03.2020
Schriftenreihe:	ACM Conferences
Schlagworte:	Computer systems organization > Embedded and cyber-physical systems > Robotics Computing methodologies > Machine learning EMG Gestures Human computer interaction Human-centered computing > Human computer interaction (HCI) Human-centered computing > Human computer interaction (HCI) > Interaction techniques > Gestural input Human-robot interaction IMU Machine Learning Muscles Neural networks Pipelines Plug-and-Play Robotics Training data Vocabulary imu human-robot interaction plug-and-play robotics teleoperation wearable sensors machine learning emg gestures
ISBN:	1450367461, 9781450367462
ISSN:	2167-2148
Online-Zugang:	Volltext
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