Online Recognition of Incomplete Gesture Data to Interface Collaborative Robots

• Published in: IEEE transactions on industrial electronics (1982) Vol. 66; no. 12; pp. 9372 - 9382
• Main Authors: Simao, Miguel A., Gibaru, Olivier, Neto, Pedro
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2019; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Artificial neural networks; Classification; Collaboration; Collaborative robotics; Feature extraction; Gesture recognition; human–robot interaction (HRI); Interpolation; Model accuracy; neural networks; online gesture recognition; Principal component analysis; Principal components analysis; Recognition; Resampling; Robot kinematics; Robot sensing systems; Robotics; Robots; Sensors; Service robots; Static models

Online recognition of gestures is critical for intuitive human-robot interaction (HRI) and further push collaborative robotics into the market, making robots accessible to more people. The problem is that it is difficult to achieve accurate gesture recognition in real unstructured environments, ofte...