A fuzzy approach to hand functioning in virtual programming

Virtual assembly allows human operators to use their hands manipulating the graphics representation of machinery parts and programming assembly tasks directly in a 3D operation space. The imprecise measurements of data gloves and uncertainty of human factors, however, make the incorporation of human hands an error-probing and time-consuming task. This paper investigates the application of fuzzy logic in posture recognition. It presents a simple yet efficient method to handle the imprecision in both the registered sample patterns and run-time glove inputs. Experiment results demonstrate the advantages of using this approach in robot programming of virtual assembly systems