Recognizing activities based on an actor’s object manipulation is an important research approach within ubiquitous computing. We present an approach which complements object manipulation with an actor’s situational information by viewing the everyday objects used by the actor to perform his/her activities from an “egocentric perspective”. Two concepts, namely observable space and manipulable sp...

Bots, simply defined as accounts controlled by automation, can be used a weapon for online manipulation and pose threat to the health of platforms. Researchers have studied platforms detect, estimate, characterize bot accounts. Concerns about prevalence bots were raised following Elon Musk’s bid acquire Twitter. In this work, we want stress that crucial questions need answered in order make pro...

This paper proposes a new method of object manipulation in a Virtual Environment that uses a visual and haptic feedback based manipulation aid. If the displayed position of the object is constrained on a face of another object in the virtual environment, a user can place the virtual object at a precise position as easily as in a real environment. The visual feedback based manipulation aid const...

This thesis considers the problem of detecting the eating activities (e.g. meals, snacks) of people by tracking their wrist motion. Our goal is to automatically detect the start and end times of eating activities during free-living. It builds upon previous work done by our research group [6] [7] [8] [21]. The detection is done by segmenting data into segments then classifying the segments as EA...

in the past few decades, capitalist economic system has witnessed different financial crises the most important of which is the 2008 financial crisis. the crisis had different causes that the main causes are innovations and financial assets without actual backing (real underlying asset) and their developing by financial institutions. namely, financial institutions, especially banks, developed t...

by Parisa Rashidi, M.S. Washington State University December 2007 Chair: Diane J. Cook In current work we introduce CASAS, an adaptive smart home system that utilizes machine learning techniques in order to dynamically adapt to user advice or changes in daily routine activities. The main components of CASAS include a frequent and periodic activity miner (FPAM), a hierarchal activity model (HAM)...

Research question: We consider player trading as one of the distinctive features football clubs’ business models and how these have been influenced since implementation Financial Fair Play (FFP). Considering Italian financial economic context in sector, we investigate whether Serie A clubs adopt earnings manipulation a result players’ rights.Research methods: The empirical analysis includes com...

Improving robotic manipulation is critical for robots to be actively useful in real-world factories and homes. While some success has been shown in simulation and controlled environments, robots are slow, clumsy, and not general or robust enough when interacting with their environment. By contrast, humans effortlessly manipulate objects. One possible reason for this discrepancy is that humans h...

There is a resurgence of interest in robot manipulation as researchers seek to push autonomous manipulation out of controlled laboratory settings and into real-world applications such as health care, generalized factory automation, domestic assistance, and space exploration. This workshop facilitated progress towards these goals by focusing on autonomous robot manipulation and the requisite sen...