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Sleep deprivation distracted most people. The common ways to monitor people sleeping are electroencephalogram and polysomnography. Recently, wearable devices provide function to estimate sleep status. However, in some situations people feel uncomfortable to wear devices, such as elder with dementia. This paper presents a scheme to estimate sleep status based on wearable free device. We utilized SVM...
In this paper, we describe the development of a spoken dialogue system based on PRINTEPS architecture. This spoken dialogue system is composed of five modules (speech recognition, language understanding, dialogue management, response generation, speech synthesis). In PRINTEPS, when calling the spoken dialogue system, system developers specify the small-scale dialogue goal. The system performs a dialogue...
Traditional STEM education models in electrical engineering and computer science rely on structured classes, laboratories, and textbooks to transfer key concepts. Even though this process meets most of the ABET objectives, it does not respond well to current workforce needs that require widely accessible programs that will provide a large pool of graduates with STEM backgrounds, analytical and programming...
Kinect v2 provides depth images with reduced noises and holes, which simplifies the pre-processing of eliminating noises and filling holes. This also allows us to detect the moving object with the depth information of Kinect v2 without resorting to RGB image. Based on this a fast moving object detection method for Kinect v2 is presented in this paper. Our method performs very quickly while extracting...
In Agriculture, farming is an important process to provide us foods. The production of farming is increasing due to the world population increased. Scientists and Engineers are working on it in order to increase the productions and reduce the time required. Hence, planting and harvest technologies are improved significantly. However, the farming delivering process also is a very important process...
The Internet of Things (IoT) is the network of objects such as vehicles, mobile devices, and buildings with electronic components, software, and network connectivity, which enable these objects to collect data, to run commands, and to be controlled through the Internet. Controlling physical items from the Internet will increase efficiency and save time. The growing number of devices used by people...
Ultra Wideband Real-Time Location System (UWB RTLS) is a real-time positioning system with high precision, which contains a number of positioning tags and anchors, and the collision between multi tags is the main reason that affects the communication efficiency and positioning accuracy in UWB RTLS. The ALOHA algorithm and the binary tree algorithm are the mainstream of the anti-collision algorithm...
Wireless Sensor Networks need energy efficient protocols for communication and data fusion to consolidate data and prolong the lifetime of the network. In this paper, an adaptive hierarchical clustering and routing method has been proposed. This clustering and routing method is based on maximum bottleneck energy routing (MBER) from a node to the sink. This method favors the routes with the highest...
Tracking movement of mobile nodes has received significant scientific and commercial interest, but long term tracking of resource-constrained mobile nodes remains challenging due to the high energy consumption of satellite receivers. Cooperative position tracking has been proposed for energy efficiency, however, all the cooperative schemes use opportunistic cooperation and optimize for either energy...
Previous research believed that identification of learning style can increase learner's motivation and understanding in the online learning process. The process of identifying learning styles can employ conventional and automatic methods. Conventional method uses questionnaires to detect learning styles. The use of questionnaires faces obstacle in which the detection results are less accurate. As...
In a cognitive radio (CR) network, a secondary user learns the spectrum environment and dynamically accesses the channel where the primary user is inactive. At the same time, a primary user emulation (PUE) attacker can send falsified primary user signals and prevent the secondary user from utilizing the available channel. Although there is a large body of work on PUE attack detection and defending...
With the rapid growth of smartphones, crowdsensing emerges as a new paradigm which takes advantage of the pervasive sensor-embedded smartphones to collect data efficiently. Auction has been widely used to design mechanisms to stimulate smartphone users to participate in the crowdsensing applications and systems. Many auction-based incentive mechanisms have been proposed for crowdsensing. However,...
We explored the problems which are soon to be faced while parking autonomous cars in parking lots. Like where is the closest parking slot available to the autonomous car? How to navigate to that location? What kind of parking structures could be good for autonomous cars? We also provide an initial solution which uses a central server and the graph of the parking lot to guide the cars to the closest...
In this paper we present a decision process to auto-adapt and improve human-machine interaction, simplifying the integration of algorithms and functionalities. The decision process is part of an innovative approach that integrates contextual information to orchestrate behaviours of an interactive system (i.e. perception and actuation features involved during interaction). Classical approaches focus...
This paper shows the potential of using a physical model of gambling die as an input device for multimedia applications. We present a real-rime method for simulating fair 6-sided die on the base of loaded model of foam-rubber die equipped with inertial measurement unit. The method allows avoiding the negative influence that biased die produces on the final game result. The technique is based on filtering...
The primary goal of this paper is to investigate what could have made successful Google's OpenSpot, a crowdsensing based parking assistance application cancelled in 2012. For this analysis we have developed UPark, a simulation environment capable of simulating large numbers of vehicles, which look for optimal parking spots in busy urban environments and whose drivers might inform others when they...
Festinating gait is one of the most commonly seen motor symptoms of Parkinson's Disease patients. In this research, an accelerometer-based sensing system implemented on a vest is used to detect the behavior of festinating gait. The detection algorithm is based on the analysis of gait symmetry from the data measured by accelerometers. Specific indices were proposed to evaluate the severity of festinating...
Extraction of desirable information from electroencephalogram signals require same level of active involvement from the participants throughout the entire duration of the task. However, this is hard to attain due to environmental, personal and internal factors including thought processes. This poses a major challenge in realizing accurate evaluation of mental workload. This study is aimed at detection...
Advanced driver assistance systems are required to detect latent hazards posed by surrounding vehicles and generate an appropriate response to enhance safety. Lane changes constitute potentially risky maneuvers, as drivers involved encounter latent hazards due to surrounding vehicles. A careful study of lane change behavior is therefore essential in identifying potential abnormalities that may lead...
When two partners perform a joint physical task, each of them experiences a force that sums together a component generated by the partner and another generated from the environment. To investigate whether subjects are able to distinguish these two components, we created a force perception task in which two partners indicate the direction of an external force applied to a rigid bar that they grasp...
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