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Contemporary swarm indicators are often used in isolation, focussed on extracting information at the individual or collective levels. Consequently, these are seldom integrated to infer a top-level operating picture of the swarm, its members and its ...

As time duration of people using smartphones increases, mobile manufacturers such as Apple have developed mobile usage statistic tools that help users understand time distribution on application usage. However, with the application evolves, users may ...

We can benefit from various services with context recognition using wearable sensors. In this study, we focus on the contexts acquired from sensor data in the nostrils. Nostrils can provide various contexts on breathing, nasal congestion, and higher ...

Laughter is a highly spontaneous behavior that frequently occurs during social interactions. It serves as an expressive-communicative social signal which conveys a large spectrum of affect display. Even though many studies have been performed on the ...

Detection of the user's context with mobile sensing systems is a common problem in ubiquitous computing. However, the typically small battery of such systems is often making continuous detection impractical. The strain on the battery can be reduced if ...

The goal of this work is to implement a real-time computer vision system that can run on wearable devices to perform object classification and artwork recognition, to improve the experience of a museum visit through understanding the interests of users. ...

Smartphones are our ubiquitous, personal, wearable companions. Though, apart from their smartness and usefulness in our everyday lives they can cause displeasure. They allow us to be connected to a load of people and with a vast amount of apps - all of ...

Malware is a burgeoning threat for smartphones and continuing advancing. Traditional defenses to malware, however, are not suitable for smartphones due to their resource intensive nature. This necessitates the design of novel mechanisms that can consider ...

We present a novel way to recognize users by the way they press a button. Our approach allows low-effort and fast interaction without the need for augmenting the user or controlling the environment. It eschews privacy concerns of methods such as ...

An increasing corpus of research focuses on inferring contexts solely through analysis of changes in surrounding wireless signals without the subject carrying a device (device-free). This paper takes device-free recognition a step further: We present ...

Sound provides valuable information about a mobile user's activity and environment. With the increasing large market penetration of smart phones, recording sound from mobile phones' microphones and processing the sound information either on mobile ...

Smart environments have emerged as a thriving field of research. Understanding user's context is one of the core areas of smart home research. In this study we present a smart home living experiment in which a test subject lived two weeks in the EleHome ...

Recent availability of big data of digital traces of human activity boosted research on human behavior. However, in most of the datasets such as mobile phone data or GPS traces, an important layer of information is typically missing: providing an ...

Mobile devices are increasingly used for context recognition. Recognition accuracies partly depend on the time synchronicity between the mobile devices used for data recording and labeling. Mobile device synchronization can be done via the Internet or ...

Today's ubiquitous environments are characterized by smart applications with variable context requirements on the one hand and a dynamic availability of heterogeneous sensors on the other hand. Currently, many existing systems pursue a structured ad-hoc ...

Activity-Event-Detectorä(AED) digraphs can describe relations between human activities, activity-representing pattern events from sensors, and distributed detector nodes. AED graphs have been successfully used to perform network adaptations, including ...

The growing ubiquity of sensors in mobile phones has opened many opportunities for personal daily activity sensing. Most context recognition systems require a cumbersome preparation by collecting and manually annotating training examples. Recently, ...

We describe the concept of and approach for combining conceptual information produced by humans and data that convey situations of the real world without any modification or interpretation, which can be thought of as a method for bridging the Web and the ...

In this demonstration paper, we show a novel approach to detect the common placements of a mobile phone, such as "in pocket", "in bag" or "out of pocket or bag", from embedded proximity (IR) and light sensors. We use sensor data fusion and pattern ...

Today's working world of knowledge workers is changing rapidly. The available information that they need to process is ever growing. In addition, the characteristics of their work are changing as people can and do their work from home. This has resulted ...