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This paper reports construction of a new device to capture 3D point cloud on human body. The device consists of a horizontal LIDAR, a vertical LIDAR and pan rotational mechanism. The device contain three main features. 1) The device can capture point cloud in large area using combination of the vertical LIDAR and the rotational mechanism. 2) The device can measure dense point cloud using mirror reflection...
We propose a simple probabilistic model of zapping process of television viewers. Our model might be regarded as a ‘theoretical platform’ to investigate the human collective behavior in the macroscopic scale through the zapping action of each viewer at the microscopic level. The stochastic process of audience measurements as macroscopic quantities such as television program rating point or the so-called...
A system for humanoid robot arm movement concerns about generating a human-like point-to-point (p2p) trajectory. For more than a decade, numerous systems have been devised and many of them were based on complex dynamical systems. In this paper, we introduce a simpler system, integrating support vector machine (SVM) learning model, which can achieve same p2p objective. In our experiment, we compare...
A wearable elbow joint with three passive joints is proposed in this paper. The joint has an advantage of easy attachment to a human arm, without thorough adjustment when attached. This paper describes kinematics, statics and a prototype of the proposed joint, and then reports results of preliminary evaluation.
Aim to improve upper limb rehabilitation effect, we design and develop an Image-projective Desktop Arm Trainer (IDAT). Compared with conventional therapy, IDAT provides a more effective and interesting training method. IDAT's goal is to maintain and improve patients' upper limb function by training their eye-hand coordination. We select step-on interface (SOI) as the input system which makes trainees...
Human Behavior Understanding (HBU) is a major challenge facing intelligent agents. Most approaches to solve this problem assume a recognition/detection context in which the agent/robot tries to match the perceived behavior to one or more predefined motion patterns (e.g. walking, running etc). A more challenging problem is discovering these motion patterns without apriori assumption about the motions...
Robots need to be dependable to work closely with humans. Further they must be accountable for the system design and development process. This makes some of the safety related standards such as IEC61508 adopt module based architecture and model driven engineering process. On the other hand, module-based architectures using middlewares are popular in the integration phase, when developing robot systems...
Understanding various factors affecting human operator's performance is one key to effectively controlling a multi-robot service queue. In this paper we study the optimal incentive design and task allocation scheme in the presence of strategic human operators with unknown capability information. We build a mechanism design framework to model and analyze the problem. We show that a simple and easy-to-implement...
In a teaching lab focused on embedded control, students create and interact with virtual environments using a haptic interface. Coupling physical (in particular physiological) environments to virtual environments gives rise to many interesting phenomena, one of which is the appearance of dissipativity in the coupled dynamics, the source of which is difficult to identify. Simple harmonic oscillators...
Human activity recognition finds many applications in areas such as surveillance, and sports. Such a system classifies a spatio-temporal feature descriptor of a human figure in a video, based on training examples. However many classifiers face the constraints of the long training time, and the large size of the feature vector. Our method, due to the use of an Support Vector Machine (SVM) classifier,...
HCM-L, a conceptual language for modeling human behavior within the context of ambient assistance is introduced. By exhibiting the results of a pattern-based analysis it is shown that HCM-L features all concepts to express control flows as discussed in [1] and as is relevant for human behavioral modeling. The work is part of the Project HBMS (Human Behavior monitoring and support) which aims at supporting...
Pedagogically, feedback in CAPT systems can be improved by focusing on the most critical errors rather than presenting all errors to the users at the same time. This paper presents our work on the use of crowdsourcing for collection of gradations of word-level mispronunciations in non-native English speech. Quality control procedures based on the proposed WorkerRank algorithm (adapted from well-known...
Automatic detection and recognition of traffic signs is an important tool in intelligent vehicles. It allows more autonomous vehicles and it can alert the driver to possible hazards and changes in the road. In this paper we focus on the recognition of a wide set of triangular traffic signs using a novel algorithm, the Number of Peaks. Once a traffic sign is detected, three horizontal lines (T, H,...
Wearable textile antennas are supposed to be integrated within the clothing or secured on the body. Therefore, the placement of the antennas and their orientation need to be carefully determined. In this paper, the interaction between a single band dipole textile antenna for wireless off-body communication applications with human body is examined. The simulations are performed by means of CST Microwave...
This research is mainly to find culture differences when the user interacts with a home robot having facial expressions. Different nations have different cultures, which are inevitably reflected in communicative modes. Without knowledge of these differences in cross-cultural communication, people may find it hard to pass on the desired message and misunderstandings may arise. In order to let the home...
Performing general human behavior by experts' navigation is expected to be realized as wearable and ubiquitous technologies and computing develop further. For example, the user of the behavior navigation system will be able to conduct first aid treatment as an expert would. We proposed and developed the Wearable Behavior Navigation System (WBNS) using Augmented Reality (AR) technology. By using the...
This paper proposed automated robot speech gesture generation system for service/entertainment robots. This system can automatically generate robot Beat gestures accompanied by speech interaction situation with humans. Beat gestures have no specific semantic meanings to communicate, but it is commonly believed that they are an essential factor of natural communication. We extracted basic gesture patterns...
In a walking rehabilitation, the cooperative walking between therapist and patient is implemented and the synchrony of walking rhythm is often observed. So, we suggest that the interpersonal synchrony is important for walking rehabilitation. Our group has proposed gait assistive system using interactive rhythmic auditory stimulation to emulate interpersonal synchrony. It is called “Walk-Mate”. In...
In this paper, we propose a memory recollection and retrieval system using spatial log data in daily living which allows users to see behavior of the past, unconscious behavior and object-oriented behavior in the Intelligent Space. The proposed system consists of multiple camera devices and microphone and it utilizes various kinds of data; human identification, human motion, object instance, weather...
Circadian rhythm is the biological process critical to the well being of all living organisms. The circadian rhythms oscillate with a period of approximately 24 hours due to the light-darkness pattern of the solar day. Circadian disruption, as experienced by night shift workers, travelers, submariners or miners, can lead to lower productivity, sleep disorder, and other more serious health problems...
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