Conference
Crane Guidance Gesture Tracking and Recognition With Nonlinear Estimation and Fuzzy Logic
Abstract
This paper presents a novel human arm gesture tracking and recognition technique based on fuzzy logic and nonlinear Kalman filtering with applications in crane guidance. Kinect visual sensor and MYO armband sensor are jointly utilized to perform data fusion in providing more accurate and reliable information on Euler angles, angular velocity, linear acceleration and electromyography data in real-time. Dynamic equations for arm gesture movement …
Authors
Wang X; Gordon C; Yaz EE
Pagination
pp. v002t21a001-v002t21a001
Publisher
ASME International
Publication Date
September 30, 2018
DOI
10.1115/dscc2018-8932
Name of conference
Volume 2: Control and Optimization of Connected and Automated Ground Vehicles; Dynamic Systems and Control Education; Dynamics and Control of Renewable Energy Systems; Energy Harvesting; Energy Systems; Estimation and Identification; Intelligent Transportation and Vehicles; Manufacturing; Mechatronics; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Control of IC Engines and Powertrain Systems; Modeling and Management of Power Systems