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In this paper, we propose an indoor action detection system which can automatically keep the log of users' activities of daily life since each activity generally consists of a number of actions. The hardware setting here adopts top-view depth cameras which makes our system less privacy sensitive and less annoying to the users, too. We regard the series of images of an action as a set of key-poses...
With the popularity of Internet of Things, lots of resource constrained devices equipped with sensors and actuators are pervasively deployed to compose a smart environment, and Big Data are obtainable for a system to do further analytics thus to achieve human-centric purposes. One such human-centric system is a smart home which analyze Big Data to recognize contexts and their corresponding preferences...
With the growing population of aging people around the world, there is an increasing needs for elders to be aware of their health status not only in hospital but also in home environment. Due to recent advances of health monitoring technologies, elder people are able to easily assess their physiological well-being at home. However, most of current physiological monitoring systems focus on the patient...
A traditional context-aware energy-saving system is often re-active, which means the decision of the system is made purely based on the currently available contexts of the users in the sensed environment. However, the advances in internet-of-things (IoTs) enable the potentials of leveraging predictive contexts to facilitate proactive energy-savings services. Therefore, this paper proposed hybrid context...
With the widespread use of mobile smart device, and its ubiquitous network access capability, microblog have important influence. It is known to all that words less then 140 characters in the microblog community may trigger the huge ripples in the society. And the words in microblog have disruptive influence, even beyond imagination. In this work we present an analytic model for predicting the trend...
In this paper, we use a recognition method for a self-recognition robot aiming to recognize potential isomorphism between two configuration graphs of the robot. A self-recognition modular robot is formed by a set of robotic modules. This self-recognition modular robot is able to change its shape by changing the way in which these multiple modules cooperate so as to conform to different working environments...
A nonlinear observer based method is proposed to solve the forward kinematics problem of the 6-DOF parallel manipulator (Stewart platform). In this paper, the forward kinematics solution is achieved by using a nonlinear observer designed to estimate the system states including 3-axis translations and rotations. The forward kinematics problem of the Stewart platform is often solved using Newton-Raphson...
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