Recognition of Group Mobility Level and Group Structure with Mobile Devices - 2018


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

PROJECT TITLE : A Siamese Content-Attentive Graph Convolutional Network For Personality Recognition Using Physiology ABSTRACT: Affective multimedia information has long been employed as a source of stimulation in the study
PROJECT TITLE : Automatic Keyword and Sentence-Based Text PDF/DOC Summarization for Software Bug Reports ABSTRACT: Text summarization is a method of extracting essential information from papers quickly and efficiently. The proposed
PROJECT TITLE : Automatic Traffic Sign Detection and Recognition Using SegU-Net and a Modified Tversky Loss Function With L1- Constraint ABSTRACT: Autonomous vehicle technology relies heavily on traffic sign detection. Researchers
PROJECT TITLE : Learning Compact Features for Human Activity Recognition Via Probabilistic First-Take-All ABSTRACT: With the rise in popularity of mobile sensor technologies, smart wearable devices provide a once-in-a-lifetime
PROJECT TITLE : Multinational License Plate Recognition Using Generalized Character Sequence Detection ABSTRACT: The computer vision community considers automatic license plate recognition (ALPR) to be a solved problem. However,

Ready to Complete Your Academic MTech Project Work In Affordable Price ?

Project Enquiry