Œewidespread availability of GPS information in everyday devices such as cars, smartphones and smart watches make it possible to collect large amount of geospatial trajectory information. A particularly important, yet technically challenging, application of this data is to identify the underlying road network and keep it updated under various changes. In this paper, we propose ecient algorithm...

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. according to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...

Smart watches allow instant access to information; however, the visual notification is not always reachable depending on the forearm posture. Flexible and curved display technologies can enable full-wrist circumference displays that show information at the most visible positions using pose awareness. A prototype device is implemented with 10 LEDs and 10 accelerometers around the wrist. The most...

This paper summarizes the panel discussion at AMCIS 2006 on the evolution and trends in mobile wireless services and technology. The panelists included information systems faculty members from the United States and Mexico. The covered topics included wireless fundamentals, wireless technologies, applications and value chain evolution, wearable computing, wireless mobile issues including privacy...

An automatic emotion recognition system can serve as a fundamental framework for various applications in daily life from monitoring emotional well-being to improving the quality of through better regulation. Understanding process manifestation becomes crucial building systems. experience results changes not only interpersonal behavior but also physiological responses. Physiological signals are ...

Wearable devices, such as smart glasses and watches, allow for continuous recording of everyday life in a real world over an extended period of time or lifelong. This possibility helps better understand the cognitive behavior of humans in real life as well as build human-aware intelligent agents for practical purposes. However, modeling the human cognitive activity from wearable-sensor data str...

The Internet of things has particularly novel implications in the area of public health. This is due to (1) The rapid and widespread adoption of powerful contemporary Smartphone’s; (2) The increasing availability and use of health and fitness sensors, wearable sensor patches, smart watches, wireless-enabled digital tattoos and ambient sensors; and (3) The nature of public health to implicitly i...

Biomedical signals contain features that represent physiological events, and each of these events has peaks. The analysis of biomedical signals for monitoring or diagnosing diseases requires the detection of these peaks, making event detection a crucial step in biomedical signal processing. Many researchers have difficulty detecting these peaks to investigate, interpret and analyze their corres...

Personalization – the customization of experiences, interfaces, and content to individual users – has catalyzed user growth and engagement for many web services. A critical prerequisite to personalization is establishing user identity. However the variety of devices, including mobile phones, appliances, and smart watches, from which users access web services from both anonymous and logged-in se...

Recent years witnessed popular use of various mobile devices, e.g., smart phones, vehicle networks and wearable watches. Such mobile devices generate massive trajectory data, and literature have proposed various algorithms to leverage the trajectory data for map inference. Unfortunately, such algorithms are hard to achieve both high map quality and computation efficiency. In this paper, we prop...