By Zuozheng Lou, Peng Yao, Dingguo Zhang (auth.), Chun-Yi Su, Subhash Rakheja, Honghai Liu (eds.)
The 3 quantity set LNAI 7506, LNAI 7507 and LNAI 7508 constitutes the refereed court cases of the fifth foreign convention on clever Robotics and functions, ICIRA 2012, held in Montreal, Canada, in October 2012. The 197 revised complete papers provided have been completely reviewed and chosen from 271 submissions. They current the cutting-edge advancements in robotics, automation and mechatronics. This quantity covers the themes of robotics for rehabilitation and tips; mechatronics and integration know-how in electronics and data units fabrication; man-machine interactions; production; micro and nano platforms; cellular robots and clever self reliant structures; movement keep watch over; multi-agent structures and allotted keep watch over; and multi-sensor information fusion algorithms.
Read or Download Intelligent Robotics and Applications: 5th International Conference, ICIRA 2012, Montreal, Canada, October 3-5, 2012, Proceedings, Part II PDF
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Extra info for Intelligent Robotics and Applications: 5th International Conference, ICIRA 2012, Montreal, Canada, October 3-5, 2012, Proceedings, Part II
Normal and differentiated AR PSE are also compared and used to predict joint torque. Methods with STFT and Welch modified periodogram are also compared. The RMS values of the errors are shown in Table 1. 4% smaller than normal PSE and AR model based PSE has the best performance. Pressure feedback corresponds to human active joint torque applied as information feedback during EMGBFT, and the result is shown in Fig 3(f). The raw sEMG signals, output torque and assist torque of the exoskeleton during coordinated control are shown in Fig 4.
Int. J. Adv. Robotic Sy. 8, 88–97 (2011) 3. : Robot-aided therapy for upper limbs in patients with stroke-related lesions: Brief report of a clinical experience. Journal of Neuro Engineering and Rehabilitation 8 (2011) 4. : Review of control strategies for robotic movement training after neurologic injury. Journal of NeuroEngineering and Rehabilitation 6 (2009) 5. : An adaptive automated robotic task-practice system for rehabilitation of arm functions after stroke. IEEE Transactions on Robotics 25, 556–568 (2009) 6.
Four data-samples were selected from each subject at different time, and 124 data-samples were obtained. 2 2 0 0 0 5 10 15 20 25 si Fig. 7. Fuzzy rule generation 30 0 5 10 15 20 25 30 si Fig. 8. Root mean squared error 74 samples were randomly selected as training samples, another 50 samples as test samples. 33 samples were specifically identified as the training samples of GDFNN according to the SVM-GDFNN algorithm, and then the GDFNN model was build as the rediagnosis model by the identified 33 samples.