The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Highly accurate positioning is fundamental to the performance of vitreoretinal microsurgery. Of vitreoretinal procedures, membrane peeling is among the most prone to complications since extremely delicate manipulation of retinal tissue is required. Associated tool-to-tissue interaction forces are usually below the threshold of human perception, and the surgical tools are moved very slowly, within...
Thus far, lifestyle advisory system has become increasingly popular in both developing and developed countries. Among other essential features, personalisation is considered a defining factor that differentiates a system from apparently similar ones. Aiming to assist human health advisors and encourage individual's self-management, HOMEVMI supports personalisation through dynamic and context-aware...
With the fast progress of mobile computing, personal lifelogging gets easier taking a little effort for automation. However data-recalling services to help a user locate or remind the event in her lifelogs still lacks supports in major aspects due to the difficulty in creating a useful environment for users. This is because a collection of lifelog streams needs high-level behavior analysis techniques...
If an appliance perceives the location or health condition of a resident in the smart home, it can provide more intelligent service actively. That is, while the conventional appliance is operated by manual input of a resident, the location-based human adaptive appliance detects the resident's information such as location, activity pattern, or health condition by itself and provides the most suitable...
Human posture classification is one of the most challenging issues in smart homecare system. To achieve high classification accuracy, we propose a new algorithm, called range-based algorithm. In this paper, a range means the distance between body parts. The ranges between body parts are investigated to classify the human posture and to detect a possible fall-down accident. Furthermore, we also proposed...
Play is a vital activity in which children observe the world, learn new concepts and experiment with them. Even though the social aspect of play is very important, the computer science community has struggled to address it. Digital playgrounds have been built in which children can play in technologically enhanced installations, but the detailed study of the social component of play within these installations...
The dynamics of collective attention emerging out of individual viewing experiences from public displays appear to be among the most demanding challenges in understanding the mechanisms of self-adaptation of public opinion. In this paper we approach a model of collective attention from observations of the attention of individuals estimated from their efforts expressing interest. Extending on SEEV,...
An integrated micro-biomanipulation system that can perform mind-controlled biomanipulation at micro scale is presented in the paper. The system incorporates a non-invasive electroencephalogram (EEG) device with a high-precision automated micromanipulator through high speed network. The human manipulation mind measured by the EEG can effectively drive the micromanipulator to perform the 2-D manipulation...
Cooperative driving is a promising technology for reducing traffic jams, limiting CO2 emissions and reducing traffic accidents. With the future mixed traffic, the current platooning concept comes to its limitations when human-driven vehicles interfere with the platoon between the autonomous vehicles without negotiation. In this interfering situation, most of them have to break down into two platoons,...
The integration of social networking concepts into the Internet of Things (IoT) has led to the so called Social Internet of Things (SIoT) paradigm, according to which the objects are capable of establishing social relationships in an autonomous way with respect to their owners. The benefits are those of improving scalability in information/service discovery when the SIoT is made of huge numbers of...
An increasing number of connectable devices have been used in our everyday living environments. However, their working status usually cannot be remotely monitored in a ubiquitous way, leading to potential inefficiency in energy consumption. In this paper, we conducted a case study to investigate the effectiveness of connecting devices into social networks for status monitoring. In our study, we developed...
This paper presents an ultrasonic sensing based human face identification approach. As a biometric identification method, ultrasonic sensing could detect the geometric structure of faces without being affected by the illumination of the environment. Multi ultrasonic sensors are used for data collection. Continuous Transmitted Frequency Modulated (CTFM) signal is chosen as the detection signal. High...
Crowd sourcing has become a term used to describe a broad variety of effective approaches that engage potentially large and open crowds of participants for the undertaking of a task. The emergence of Heterogeneous Networks (Het Nets) that brings about a significant expansion of existing mobile network capacity will enable and accelerate new forms of mobile and ubiquitous crowd sourcing. This paper...
In this research, the authors aimed to mining Life logs for developing a user model-based service application. Life logs can be constructed by analyzing Motion logs, which are obtained from questionnaires, or motion data collected from sensors. And the user models, which help applications to provide appropriate service, can be constructed by mining these Life logs.
Infrared Sensors are widely used nowadays on Aircrafts (rotary and fixed wing) to help pilot's activities. The infrared information of the surrounding area are used mainly for two different purposes: Navigation and Search & Track-While-Scan. Navigation functions, commonly identified with the name of Imaging Modes, are devoted to aid pilots in conjunction with advanced human machine interfaces...
Given a remarkable recent progress in robotics research, we can envision the day when robots and humans coexist and robots become closely integrated into our daily lives. This means endowing robots with the ability to communicate so they perceive human emotion, adapt their behavior to humans, and sense situations even without explicit instructions. Meanwhile, affective computing, that interprets emotion...
In Intelligent Tutoring Systems, affect-based computing is an important research area. Common approaches to deal with the affective state identification are based on input data from external sensors such as eye-tracker and EEG, as well as methods based on mining of ITS log data. Sensor based methods are viable in laboratory settings but they are tough to implement in real-world scenario which might...
Recommender systems automatically determine suitable items for users. Although preferences or context of users have been widely utilized in order to evaluate the suitability of the items for users, the surrounding context have little been considered. Focusing on that many ordinary human beings voluntarily report their observations of the current situation of the world to microblogs, this paper proposes...
This paper introduces a proposal for a smart environment capable of deploying enhanced services by using a synergic approach based on Adaptive Neuro-Fuzzy Inference System (ANFIS) and Fuzzy Markup Language (FML). In detail, this approach realizes a long-life learning strategy able to generate context-aware services and actualize them through abstraction techniques in order to maximize the users' comfort...
The results of application of differential geometry in the processing of human biosignals are presented. Using accelerometric sensors placed under the mattress the ballistocardiogram was measured together with the related ECG signal. The R-R intervals were calculated and compared with the accelerometric data. We shown, that the accelerometric sensors acquire sufficient accuracy to acquire the heart...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.