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In this paper an approach to gesture recognition is presented. It is based on application of simple ultrasonic range-finders. A set of five gestures is described which can be distinguish in this way. The described method has been implemented for a mobile robot PeopleBot.
This paper presents preliminary studies on the problem of classification of different kinds of human arm motions based on EMG signals. Methods of change detection, classification, features extraction and selection are considered as an important elements of recognition process. Presented algorithms are part of module to visualise human arm movements. The aim of presented work is to develop system to...
In recent years, technological advances have lead to a society with communication platforms like iPhone and Kinect Xbox that are able to inject sensing presence into online social networks (OSNs). Thus, it is possible to create large-scale opportunistic networks by integrating sensors, applications and social networks and this development could also promote innovative collaborative cyber security...
This paper describes an optimal measurement position estimation by the discriminant analysis based on Wilks' lambda for the myoelectric hand control. In the past studies, the myoelectric signals were measured from the same positions for the motions discrimination. However, the optimal measurement positions of the myoelectric signals for the motion discrimination are different according to the remaining...
The analysis of human motion data is interesting for the purpose of activity recognition or emergency event detection, especially in the case of elderly or disabled people living independently in their homes. Several techniques have been proposed for identifying such distress situations using either motion, audio or video sensors on the monitored subject (wearable sensors) or the surrounding environment...
Acupoint specificity, lying at the core of the Traditional Chinese Medicine, still faces many controversies. As previous neuroimaging studies on acupuncture mainly adopted relatively low time-resolution functional magnetic resonance imaging (fMRI) technology and inappropriate block-designed experimental paradigm due to sustained effect, in the current study, we employed a single block-designed paradigm...
In this paper, we describe an application of hidden Markov models (HMMs) to the problem of time-locating specific events in normal gait movement patterns. The use of HMMs in this paper is mainly related to the opportunity they offer to segment gait data collected at different walking speeds and inclinations of the walking surface. A simple four-state left-right HMM is trained on a dataset of signals...
In this paper, as a preliminary study, we show that accuracy and repeatability in ambulatory measurements of wrist joint are related to movement conditions which are going to be used in a calibration procedure. We chose two representative in-vivo, non-invasive calibration methods of the human upper limb, from those available in literature, to estimate joint parameters. Developing an analytical model...
Many well-known brain-computer interfaces measure signals at the brain, and then rely on the brain's ability to learn via operant conditioning in order to control objects in the environment. In our lab, we have been developing brain-muscle-computer interfaces, which measure signals at a single muscle and then rely on the brain's ability to learn neuromuscular skills via operant conditioning. Here,...
During the development of a neural prosthesis, various ethical aspects have to be considered. These range from the basic design of the prosthesis and manufacturing of the various components and the system using biocompatible materials to extensive in vitro and in vivo testing and investigations in the animal model, before taking the final step and going to human trials. As medical systems, neural...
This paper presents a design of an anthropomorphic biomechatronic hand, focusing on the design of the fingers and its bio-inspired flexor-extensor like low-level control. The kinematic description, the detailed explanation and presentation of the 3D CAD design are included. The description of the applied 3D tactile and magnetic sensors are also detailed in the article. Matlab simulation results and...
Currently, most systems for human-robot teaching allow only one mode of teacher-student interaction (e.g., teaching by demonstration or feedback), and teaching episodes have to be carefully set-up by an expert. To understand how we might integrate multiple, interleaved forms of human instruction into a robot learner, we performed a behavioral study in which 44 untrained humans were allowed to freely...
An unobtrusive measurement tool is important for Human-Robot Interaction (HRI) research that does not want to attach markers or devices on the experiment subjects. This property allows a natural observation of interaction between human and robot during the experiment. In HRI, an experiment that involves with psychological evaluation usually requires physical measurement for evaluating the interaction,...
The utilization of photoplethysmographic (PPG) signals for biometric identification represents a novel approach in the area of secure authentication. PPG signals can be easily obtained with low cost and have great potential to serve as biometric identification mechanism. This paper explores the feasibility, along with the relevant signal processing methods, of using PPG signals of an individual as...
We present a mixed human sensing method to extract tacit knowledge of skillful operation from expert engineers in the manufacturing industry. The method that consists of the field-oriented interview, the human motion capture and the video analysis is applied for experts and beginners, and the operational differences between those are analyzed. By returning and confirming the results of the analysis...
In this paper we propose a novel interaction approach, based on gestures, aiming to recognize and enhance interactions between augmented human beings and augmented environments. We explain how this model, we called ARAMIS, allows interaction designers to fill the gap between real and virtual worlds augmenting the human itself. An enhanced interaction is achieved exploiting a hybrid approach. This...
Unconstrained human hand motions consisting grasp motion and in-hand manipulation lead to a fundamental challenge that many algorithms have to face in both theoretical and practical development, mainly due to the complexity and dexterity of the human hand. In this paper, fuzzy active curve axis Gaussian Mixture Model (FAcaGMM) is proposed by introducing a weighting exponent on the fuzzy membership...
Participatory sensing is becoming more popular with the help of sensor-embedded smartphones to retrieve context-aware information for users. However, new challenges arise for the maintenance of the energy supply, the support of the quality-of-information (QoI) requirements, and the generation of maximum revenue for network operator, but with sparsely research exposure. This paper proposes a novel...
With the popularity and advancements of smart phones, mobile users can interact with the sensing facilities and exchange information with other wireless devices in the environment by short range communications. Opportunistic exchange has recently been suggested in similar contexts; yet we show strong evidence that, in our application, opportunistic exchange would lead to insufficient data availability...
One way to evaluate the life-time performance of dental restorative materials is to use in vitro dental wear simulators, which generate accelerated artificial dental wear on dental restorative components outside of the human oral environment. However, the work of several researchers has questioned the reliability of these in vitro results as a consequence of significant result variations produced...
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