Group Activity Recognition using Mobile Devices
نویسنده
چکیده
Group activities are more than the sum of the activities of the individuals in them, but are rather generated by those activities and interactions between group members. This thesis proposes group activity recognition (GAR) using collaborative mobile user devices for sensing, processing and recognition. The contribution is a thorough evaluation of a method for approaching a completely novel problem.
منابع مشابه
Recognizing Group Activities Using Wearable Sensors
Pervasive computing envisions implicit interaction between people and their intelligent environments instead of between individuals and their devices, inevitably leading to groups of individuals interacting with the same intelligent environment. These environments must be aware of user contexts and activities, as well as the contexts and activities of groups of users. Here an application for in...
متن کاملTowards Collaborative Group Activity Recognition Using Mobile Devices
In this paper, we present a novel approach for distributed recognition of collaborative group activities using only mobile devices and their sensors. Information must be exchanged between nodes for effective group activity recognition (GAR). Here we investigated the effects of exchanging that information at different data abstraction levels with respect to recognition rates, power consumption, ...
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One goal of ubiquitous and pervasive computing is to enable devices to adapt to the contexts and activities of the individuals interacting with them through a process called context or activity recognition. However, humans are social and spend most of their time in groups, and the behavior of the group is fundamentally different than the behavior of each individual in it, referred to as “emerge...
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Yang’s group has been actively working in the field of activity recognition based on mobile devices. Their work includes transfer learning for activity recognition and activity recognition for indoor daily-living activity recognition via mobile devices (see http://www.cse.ust.hk/~qyang/byarea.htm#Activity_Recognition) at location, action and goal levels. Yang was an invited speaker at IJCAI Con...
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