29,249 research outputs found
Controlling a remotely located Robot using Hand Gestures in real time: A DSP implementation
Telepresence is a necessity for present time as we can't reach everywhere and
also it is useful in saving human life at dangerous places. A robot, which
could be controlled from a distant location, can solve these problems. This
could be via communication waves or networking methods. Also controlling should
be in real time and smooth so that it can actuate on every minor signal in an
effective way. This paper discusses a method to control a robot over the
network from a distant location. The robot was controlled by hand gestures
which were captured by the live camera. A DSP board TMS320DM642EVM was used to
implement image pre-processing and fastening the whole system. PCA was used for
gesture classification and robot actuation was done according to predefined
procedures. Classification information was sent over the network in the
experiment. This method is robust and could be used to control any kind of
robot over distance
GUI system for Elders/Patients in Intensive Care
In the old age, few people need special care if they are suffering from
specific diseases as they can get stroke while they are in normal life routine.
Also patients of any age, who are not able to walk, need to be taken care of
personally but for this, either they have to be in hospital or someone like
nurse should be with them for better care. This is costly in terms of money and
man power. A person is needed for 24x7 care of these people. To help in this
aspect we purposes a vision based system which will take input from the patient
and will provide information to the specified person, who is currently may not
in the patient room. This will reduce the need of man power, also a continuous
monitoring would not be needed. The system is using MS Kinect for gesture
detection for better accuracy and this system can be installed at home or
hospital easily. The system provides GUI for simple usage and gives visual and
audio feedback to user. This system work on natural hand interaction and need
no training before using and also no need to wear any glove or color strip.Comment: In proceedings of the 4th IEEE International Conference on
International Technology Management Conference, Chicago, IL USA, 12-15 June,
201
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