By Liming Chen, Supriya Kapoor, Rahul Bhatia
The booklet clever platforms for technological know-how and knowledge is the impressive choice of prolonged chapters from the chosen papers that have been released within the lawsuits of technology and knowledge (SAI) convention 2013. It comprises twenty-four chapters within the box of clever platforms, which bought hugely prompt suggestions in the course of SAI convention 2013 overview method. All chapters have passed through enormous extension and consolidation and have been topic to a different around of rigorous overview and extra amendment. those chapters characterize the state-of-the-art of the state of the art learn and applied sciences in comparable parts, and will support tell appropriate study groups and members of the longer term improvement in technology and knowledge.
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Extra resources for Intelligent Systems for Science and Information
The neuromorphic orientations of hand remain almost unchanged, though those are located in the area of Chinese painting. In Fig. 24, the spotted hand area becomes obsolete, while the head area becomes dominant as in the red circle. There are almost no neuromorphic orientations of human object in Fig. 25 for far-end stereo processing. All Weather Hu uman Detection Using Neuromorphic Visual Processing 39 Fig. 23. Steereo neuromorphic processing for the near end Fig. 24. Stereo neuromorphic processing for the mid range Fig.
By using EEG sensors, it is possible to monitor psychological status in the wearable sensor. These are components of the proposed physical health and psychological monitoring system. The proposed system also allows frequent monitoring. Even for every minute, or every second, it may monitor all the required items. Therefore it is applicable to the patients in ICU. Also, it may find Alzheimer patients who used to walk away from their house and /or hospitals together with physical health and psychological status.
However, together with the implementation of neural network, the mimicking of visual cortex function of Fig. 1 allows for effective thresholding of image noise and successful detection of human objects as a result shown in Fig. 35, as the saliency map illustrated the robustness in detecting human objects in the terrestrial environments. The detection based on the feature of human head and torso in Fig. 9. 7 Conclusion Neuromorphic vision system offers an alternative to existing computer vision algorithms.