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In this paper, we present EEWAA, a new Energy-Efficient Wireless sensor Architecture for Activity recognition Applications. Contrary to existing approaches, our solution aims at optimizing the lifetime of every battery-operated devices that may contribute to the activity recognition, including sensors but also smart phones or tablets. Depending on the environment opportunities, our approach balance...
Many context-aware smartphone applications depend on specific conditions for gathering data, e.g., specific phone locations or orientations. As a result, the significant overhead of keeping all this information in mind is imposed on their users. Besides averting the interest of potential application users, these requirements defeat one of the main purposes of these mobile data collection, namely simplifying...
This article proposes experiments on the automatic recognition of personality traits and conflict handling style based on nonverbal communication. The tests are performed over the SSPNet-Nokia Corpus, a collection of 60 mobile phone calls (120 subjects in total) based on the Winter Survival Task. Nonverbal behavioral cues are extracted from speech (captured with the phone microphones) and motor activation...
Motivated by an availability gap for visual media, where images and videos are uploaded from mobile devices well after they are generated, we explore the selective, timely retrieval of media content from a collection of mobile devices. We envision this capability being driven by similarity-based queries posed to a cloud search front-end, which in turn dynamically retrieves media objects from mobile...
We present a method to automatically determine a set of feature descriptors that describes an object such that it can be localized under a variety of viewpoints. Based on a set of synthetically generated views, local image features are detected, described and aggregated in a database. Our proposed method evaluates matches between these database features to eventually find a set of the most representative...
Image matching is a cornerstone technology in many image understanding, augmented reality and recognition applications. The state-of-the-art techniques follow a feature-based approach by extracting interest points and describing them by either rotation or affine invariant descriptors. However, requiring rotation or affine invariance comes at an additional computational cost as well as inaccurate estimates...
Context-aware applications have been the focus of extensive research yet their implementation in mobile devices usually becomes challenging due to restrictions in regards to processing power and energy. In this paper, we propose a mobile platform to provide real-time human activity recognition. Our system features (1) an efficient library, MECLA, for the mobile evaluation of classification algorithms;...
This paper investigates how different stages in handheld Augmented Reality (AR) applications can benefit from knowing the direction of the gravity measured with inertial sensors. It presents approaches to improve the description and matching of feature points, detection and tracking of planar templates, and the visual quality of the rendering of virtual 3D objects by incorporating the gravity vector...
This paper investigates how different stages in handheld Augmented Reality (AR) applications can benefit from knowing the direction of the gravity measured with inertial sensors. It presents approaches to improve the description and matching of feature points, detection and tracking of planar templates, and the visual quality of the rendering of virtual 3D objects by incorporating the gravity vector...
Recently, various authentication systems are used in our society, for example, WYK system, WYH system and WYA system. However, most of them require user's some actions at domain of authentication system. Therefore, we suggest walking authentication system without user's special action by using 3-axis accelerometer embedded in mobile phone. We extract two feature amounts from basic experimentation...
The need of increasing the security measures in mobile devices has led researchers focus on finding new security mechanisms. In this paper we propose a solution to keep data secured by ensuring that only the authorized user can access the data in a mobile phone. By using gait recognition as an important element for the authentication process we propose an automatic gait recognition system to be used...
Falls amongst the elderly is becoming a major problem with over 50% of elderly hospitalizations due to injury from fall related accidents. Healthcare expenses are dramatically rising due to growing elderly population. Many current technologies for gait analysis are laboratory-based and can incur substantial costs for the healthcare sector for treatment of falls. However utilization of alternative...
In this paper, we propose a fast and accurate auto-focusing method for mobile phone cameras. The proposed method first extracts a feature vector consisting of the focus value increment ratios at the predefined lens positions. Then, the best in-focus lens position is estimated by comparing the input feature vector and the training database. Experimental results show that the proposed method is superior...
"Clickable Real World" is a new methodology to retrieve real-time real-world information from the web. The key point is that the query here is the name and the attributes of a given landmark, which is given by taking a picture of the landmark by a mobile phone camera. The user can feel to directly click the landmark in front of him/her by the shutter clicks. One of the great advantages of...
In this paper we present a classification of human movement in physical space into spatio-temporal activities (STAs) and classes thereof. Drawing from our experiences with real human data from GPS traces we define a clustering approach for STA extraction based on the amount of motion of the user in space and time. Our solution captures these properties in a lightweight online algorithm that can run...
Smart phones have become a powerful platform for wearable context recognition. We present a service-based recognition architecture which creates an evolving classification system using feedback from the user community. The approach utilizes classifiers based on fuzzy inference systems which use live annotation to personalize the classifier instance on the device. Our recognition system is designed...
Over the last years, there has been an increasing research interest in the application of accelerometry data for many kinds of automated gait analysis algorithms. The need for more security on mobile devices is increasing with new functionalities and features made available. To improve the device security we propose an improved biometric gait recognition approach with a stable cycle detection mechanism...
The need for more security on mobile devices is increasing with new functionalities and features made available. To improve the device security we propose gait recognition as a protection mechanism. Unlike previous work on gait recognition, which was based on the use of video sources, floor sensors or dedicated high-grade accelerometers, this paper reports the performance when the data is collected...
Localization of mobile devices is an essential task in Augmented Reality and has therefore been an active research topic for many years. Typically, indoor tracking approaches, such as methods based on infrared or ultra-wide-band, require preparations of the environment and special hardware sensors. Conversely, image feature tracking approaches can provide orientation estimates without special tracking...
In this paper, we propose a system and methodology for using mobile phones for monitoring physical activities of a user, and its applications in assisting elderly or people with need for special care and monitoring. The method is based on processing acceleration data provided by accelerometers integrated in new mobile phones. As the mobile phone is carried regularly by the user, the acceleration pattern...
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