In the proposed work we present a combination of two paradigms: Wireless Sensor Networks (WSN) and Computer Vision applied for Motion Analysis. In this work the Computer Vision provides high-level behavioural monitoring and analysis, whereas Wireless Sensors capture detailed parameters of a moving object. Fusion of sensory information received from both types of sensors provides micro-level and macro-level details. These combined details can be used in various application areas. In considered applications, one of the areas can be Robotics. In this case this strategy can be used to monitor health of robots under certain actions and situations. Another important application domain is health care and rehabilitation of injured persons. In this application, movement of an injured body portion is measured after its treatment. Apart from the analysis of motion we also propose optimized movement advice to patients. Optimum motion advice is very useful in case of sports injury to recover strength and performance. In this paper we produce experimental work performed by simulating different movements of hands and legs in free space. The experimental simulation provides a broad range of data on motion analysis with visualization. The third area of application that is explored is elderly patient condition monitoring and motion analysis for health monitoring.

No abstract

There is a need of noteworthy scaling down in the information approached may be saved in the most recent decade. Delicate and advanced version hard paper duplicate which helps in two ways that they increased the effectiveness from claiming data management but also improved the distribution of entrance of information. On engineered DNA, it may be a chance to view the late improvement on the possibility about data capacity. Similarly in this way we have figured out how leap forward engineering could dramatically change the lifestyle out of our information capacity. This topic ' Big Data Storage based DNA' is described from the first research to newer one, their advantages and disadvantages, their techniques and how it will become a practice in the future.We also propose an approach is proposed as simple method to store data into DNA. The experiment work is done to validate the proposed approach result clearly show advantages merits of proposed method.

No abstract

No abstract