The virtual model adds a load to the system. The master and slave responses are slightly different, but the result is good enough for the application. This novel approach could be used in many master-slave applications.
Elephants have to maintain stability of a body
weighing 2700 kg - 4500 kg in a wide range of unstructured
terrain conditions. To achieve this, the dynamic walking
control strategies of an elephant should be able to manage the
large inertial forces working on the leg muscles. Therefore,
understanding the gait patterns of an elephant can indicate the
possible robust control strategies that an elephant may be
adopting by exploiting its body dynamics and kinematics. This
paper presents a simple method to analyze the gait patterns of
an elephant using videos and snapshots. In the research, we
have used three Asian elephants to capture videos and
snapshots in order to obtain primary data. Finally, two
outcomes were illustrated. Firstly, the ratios of body segments
of the elephant were calculated using snapshots, and secondly,
movements of the four limbs in the Sagittarius plane were
measured and graphs were generated against time. Since the
data used here were obtained from the images, errors can be
occurred due to the scale of the image and measuring
techniques. These errors were mitigated by carrying out
appropriate error corrections
At present, there are no adequate solutions which facilitate the interaction of computers to handicapped people. This research addresses that issue and it provides a comprehensive solution for the problem. The product provides an alternative to the conventional mouse using computer vision and voice recognition technologies as key techniques. The user can use his or her nose's relative movements to move the mouse pointer and use other mouse actions by voice commands. Enhanced template matching image processing technologies have used to track the nose position. Background light changes are rectified with using adoptive thresholds. The voice interaction is achieved by using Speech API calls and overall mouse events are passed to system using system API calls. The only additional hardware components used are, a web cam and a microphone which come by default in most laptop computers in built. And such external microphones and web cameras are available in very affordable price.Keywords-hands free interface; nose mouse; mouse for disabled people, nose tracking, ehnaced template maching, adaptive threshold
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