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Realization of Human Interactive Control for hand sign using python
Amarnathvarma angani,beong jun kim,Kyoojae Shin 제어로봇시스템학회 2018 제어로봇시스템학회 국내학술대회 논문집 Vol.2018 No.5
The proposed study is the continuation of the previous study that aims to control the robotic fish which had researched on bio-mimetic ornamental aquarium robotic. Recently, our research held on human interactive control based on hand gesture recognition. From the real time video, users are able to control the motion of the robotic fish by using two hands where the left hand deciding which fish will be controlled and the right hand deciding which motion of the robotic fish will be controlled. In the other case, user utilized one hand, which decides to select the tracking control algorithms such as color mark, stop zone and lead-lag tracking control algorithms. Hand gesture recognition consists of hand segmentation, and gesture recognition from the hand features. Our result shows that an interactive human control, which is in this study, is hand gesture, successfully control the motion of the robotic fish in an interactive manner.
C. S. Angani,D. G. Park,C. G. Kim,P. Kollu,Y. M. Cheong 한국자기학회 2010 Journal of Magnetics Vol.15 No.4
Local wall thinning in pipelines affects the structural integrity of industries like nuclear power plants (NPPs). In the present study, a pulsed eddy current (PEC) differential probe with two excitation coils and two Hall-sensors was fabricated to measure the wall thinning in insulated pipelines. A stainless steel test sample was prepared with a thickness that varied from 1 ㎜ to 5 ㎜ and was laminated by plastic insulation to simulate the pipelines in NPPs. The excitation coils in the probe were driven by a rectangular current pulse, the difference of signals from two Hall-sensors was measured as the resultant PEC signal. The peak value of the detected signal is used to describe the wall thinning. The peak value increased as the thickness of the test sample increased. The results were measured at different insulation thicknesses on the sample. Results show that the differential PEC probe has the potential to detect wall thinning in an insulated NPP pipelines.