Recognition of Group Mobility Level and Group Structure with Mobile Devices - 2018 PROJECT TITLE :Recognition of Group Mobility Level and Group Structure with Mobile Devices - 2018ABSTRACT:Monitoring cluster mobility and structure is crucial for understanding group activities and social relations. During this Project, we have a tendency to develop algorithms for fine-grained mobility classification and structure recognition of social groups utilizing mobile devices. Initial, we gift a technique that acknowledges four levels of cluster mobility, as well as stationary, strolling, walking, and running. Second, using multiple types of mobile sensors, a completely unique relative position relationship estimation algorithm is developed to understand totally different moving cluster structures. We have a tendency to have conducted real-life experiments in that 12 volunteers moved in several little teams either in an office building or a shopping mall with numerous speeds and structures. Experimental results show that our approach achieves an accuracy of 99.five percent in cluster mobility level classification and concerning eighty % in cluster structure recognition. Did you like this research project? To get this research project Guidelines, Training and Code... Click Here facebook twitter google+ linkedin stumble pinterest Max-Min Fairness Rate Control in Wireless Networks: Optimality and Algorithms by Perron-Frobenius Theory - 2018 Protocol Function Block Mapping of Software Defined Protocol for 5G Mobile Networks - 2018