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In this paper, we present a novel pulseoximetric sensor which can be worn in the ear channel. In previous work, we could demonstrate that measurement of heart rate (HR), arterial oxygen saturation (SpO2) and respiratory related information can be performed with reliable accuracy. Since these results were obtained under laboratory conditions, we now studied the feasibility of a clinical appliance of...
Managing critical infrastructures under the growing cyber-threat is becoming a matter of international urgency. The volume and frequency of cyber-related incidents on the rise yearly, and the level of sophistication is increasing. Critical infrastructures are key service providers and heavily interconnected, meaning any damaging impact would result in devastating consequences and potential cascading...
The area of human digital memories focuses on documenting our entire lifetime. Using this outlet, a diverse range of information can be brought together, such as photos, location, temperature and physiological information. Nowadays, we have access to a number of different data sources, thus allowing more dynamic and data rich memories to be created. In particular, the inclusion of physiological data...
A hand-held electronic nose (e-nose) based on polymer/carbon nanotube (CNT) is presented as a point-of-care clinical instrument. The system was designed to support key requirements such as compact body, lightweight and low cost suitable for home-based diagnostics. This paper is a case study to demonstrate clinical application of an e-nose by investigating volatile organic compounds (VOCs) as generated...
Identifying moving objects from a video sequence is a fundamental and critical task in many computer-vision applications. Such automatic object detection soft wares have many applications in surveillance, auto navigation, traffic monitoring and robotics. While identifying the objects it is some time essential to identify the objects individually. Individual object detection is very critical in many...
Multi-robot system often require human assistance in practical situation. The level of controlling multiple robots in the real world lies somewhere between fully autonomous and fully manual. The optimal level of autonomy for the multi-robot system controller is discussed in this paper. Since human perception is limited for controlling large number of robots, interface design should consider separating...
The Internet of Things (IoT) presents huge potential for designing new technologies. However it is not yet clear which of these technologies will actually be accepted as a part of our everyday lives. Alongside the development of prototypes and exploratory evaluations, other research methods could be useful in eliciting responses to future visions, and developing implications that can inform design...
The use of information technology in research and practice leads to increased degree of automation of tasks and makes scientific experiments more efficient in terms of cost, speed, accuracy, and flexibility. Scientific workflows have proven useful for the automation of scientific computations. However, not all tasks of an experiment can be automated. Some decisions still need to be made by human users,...
This paper presents a multi-feature approach for detection of key postures by using a MESA SR4000 time-offlight 3D sensor managed by a low-power embedded PC. Acquired data were pre-processed by using a well-established framework including self-calibration, segmentation and tracking functionalities. To accommodate different application scenarios, hierarchical coarse-to-fine features were extracted...
Domoic acid (DA), (C15H22NO6) is a biologically produced neurotoxin that causes amnesic shellfish poisoning (ASP) in humans (Hallegraeff 2003) and can lead to direct poisoning of marine life or Domoic Acid Poisoning (DAP) (Lansberg 2005). The toxin is produced by marine diatoms of the genus Pseudo-nitzschia. Domoic acid (DA) is an excitatory glutamate analog that can cause neuronal cell death from...
This paper deals with the application of UWB radars for detecting the respiration parameters of a human being. We demonstrate that a simple algorithm used in the case of still subjects can be adapted, with small modifications, to the case in which the subject is moving. The algorithm can be applied to the relevant scenario of monitoring the respiration activity of an astronaut during rest.
With the advance of natural user interface technology, studies on detecting human movement and gestures have been conducted. Among these studies, sleep recognition is significant for energy saving as human's special behavior. This paper proposes a novel approach using a depth sensor and camera for increasing sleep recognition accuracy. Several potential errors of sensing gestures when sleeping are...
Technology is a dynamic phenomenon which could experience rapid changes that may gradually lead to advancement in the humanitarian activities. It may become weak or lose its validity as a result of improper changes or attention and the way of thinking which could be due to overshadowing influences. The effect of such changes and influence has continued to cause problems in the key aspect of global...
This paper describes the proposed humanoid robot teleoperation system capable of task learning through teleoperation. The system is based on the task rule extraction from the data acquired by monitoring a human operator during the teleoperation process. The basic information about teleoperation systems, history, applications and current trends are provided in the first part of the paper. The second...
This paper proposes a monitoring and remote control system for supporting elderly people. First, we introduce robot partner, remote control system for home appliances, and sensor networks for human localization. Next, we apply a spiking neural network to extract a person from the measured data by the sensor network. Finally, we discuss the effectiveness of the proposed methods through experimental...
Human mobility monitoring and respective traces are important for understanding human behavior, respective patterns and associated context. Such data can be potentially used in business intelligence-oriented systems, for providing added value commercial services or insight to internal enterprise procedures. At the same time, smart phones are rapidly becoming an indispensable tool for our everyday...
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...
Advancements in Service-Oriented Architectures, Cloud Computing and Wireless Sensor Networks pose challenges with respect to dynamic application adaptation, the ability to reconfigure applications so as to support continuous, unimpeded augmentation of services in response to changing environmental circumstances. Proactivity of Service Based applications refers to anticipatory, change-oriented and...
In this paper, an approach based on WorkFlow nets and on possibilistic Petri nets is proposed to deal with non-conformance in Business Processes. Routing patterns existing in Business Process are modeled by WorkFlow nets. To express in a more realistic way the uncertainty attached to human activities, possibilistic Petri nets with uncertainty on the marking and on the transition firing are considered...
Usability as well as accessibility is a key aspect in development of human-computer interaction. This paper presents the basis of usability evaluation methodology and reviews the methodology used in empirical studies of usability evaluation for disabled people. Finally, we present a solution (METBA) as a system for managing the information related to evaluation of human behavioral observation contents...
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