Paralysis is the loss of muscle which functions as a part of the body. Paralysis can affect any part of the body at any movement of an individual’s lifecycle.. It happens when something turnout wrong with the way messages to pass between the brain and muscles. Paralysis can be generalized or localized. It can be either complete or partial type of paralysis. Completely paralyzed people can’t have control over their muscles in the affected areas. Paralyzed people can’t be in a position to move from one position to the other. So, it would be very difficult for them to go for the checkups and fulfill their necessities. This is the biggest problem which people are facing to go for the checkups and observe their health condition. To avoid this problem, in this project a mobile based game therapy is developed. This is a passive rehabilitation exercise for the disabled patients. This exercise tries to activate neuroplasticity. By using this mobile game patient can regain movement in his body especially in muscles. By using this game doctor can be able to check the day to day readings and can analyze the improvement of the muscle strength and prescribe the suggestions accordingly. The improvement in muscles starts very slowly but, trusts the game as long as the patient is playing this game the complete concentration will be towards the game so that the patient can restore daily the functionality of his nerves and muscles easily.
Provision quality of service (QoS) is the need of coming generation networks. Wherein mechanism for the provision of quality of service has emerged in different directions, the effort on minimizing the broadcasting overhead in a setup process is observed to be high. The past development in resource allocation has focused on the optimization of quality of service in the communication process. However, not much emphasis is made on the signaling overhead for multicast signal propagation under dynamic network resource condition. The limitation is observed to be more predominant in dynamic network such as mobile Adhoc network. The link overhead under a dynamic resource variation impact on the channel allocation performance and hence introduces delay. This paper, present an approach of resource allocation under the dynamic network condition for 1-hop and Multihop broadcasting. The proposed approach optimizes the channel allocation by the self-detection of available channel due to additional secondary users and allocates a communication channel based on a sensing mechanism. Wherein, the conventional method uses a fixed level of available channel, the proposed approach gives the advantage of channel allocation with channel sensing under dynamic user condition. The proposed approach illustrates a higher success rate and minimization of average delay under a dynamic network condition.
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