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This paper reports a mobile application pre-launch scheme thatis based on user’s emotion. Smartphone application’s usage andsmartwatch’s internal sensors are exploited to predict user’s intension.User’s emotion can be extracted from the PPG sensor inthe smartwatch. In this paper, we extend previous App pre-launchservice with user’s emotion data. Applying machine learning algorithmto the training data,...
Rapid proliferation of numerous sensing technologies into mobile devices making them smarter than ever before. The smartphone is now better able to sense and keep record of various activities such as fitness level, mood detection, individual's drinking state, driving behavior, personal interests etc. Having such varied source of information can my smartphone really act as a recommender or as an assistant,...
By utilizing captured characteristics of surrounding contexts through widely used Bluetooth sensor, user-centric social contexts can be effectively sensed and discovered by dynamic Bluetooth information. At present, state-of-the-art approaches for building classifiers can basically recognize limited classes trained in the learning phase; however, due to the complex diversity of social contextual behavior,...
Sentiment analysis has been adopted in several areas to gain insight into user feedbacks. Most existing approaches focus on explicit opinions whereas none contributes in implicit opinions expressed in Thai language. This paper presents a sentiment analysis framework in implicit opinions for Thai language. Evaluation results in representative domain of mobile device products show that the framework...
With the prevalence of mobile devices such as smartphones and tablets, the ways people access to the Internet have changed enormously. In addition to the information that can be recorded by traditional Web-based e-commerce like frequent online shopping stores and browsing histories, mobile devices are capable of tracking sophisticated browsing behavior. The aim of this study is to utilize users' browsing...
One of the major steps for opinion mining is to extract product features. The vast majority of existing approaches focus on explicit feature identification, few attempts have been made to identify implicit features in reviews, however; people tend to express their opinions with simple structures and brachylogies, which lead to more implicit features in reviews. By analyzing the characteristics of...
User intent is an integral part of mobile phone applications as it delivers events to applications, notifies applications of relevant events, or triggers applications. Current smartphone applications either require users to manually start them or they run as background jobs. In this work, we propose UserIntent, a new paradigm for automatically selecting the right smartphone application based on user...
Nowadays, as social activities in the real world are getting more and more popular, it is important to understand the social interaction features and the social contexts of users (meetings, social gatherings, etc.) to support social activity organization. By leveraging the social context and activities of users, various services can be provided (e.g., recommendation of friends, activities, etc.)....
Nowadays, the explosive use of mobile phones leads to generate a large number of personal photos. The requirements of effective image retrieval becomes evident. In this paper, we overview image retrieval techniques with special emphasis on different works that consider automatic image annotation as solution to retrieve images in mobile environment. In most automatic image annotation systems, the high-level...
Capturing a professional photo with high visual quality is always a challenging task for mobile users. This paper presents a crowd sourced learning to photograph approach to assist mobile users for composing high quality photos via their mobile devices. The proposed approach is able to leverage the camera and scene context to search related images with similar context and content from social media...
In this paper, an acoustic and visual signal based context awareness system is proposed for a mobile application. The proposed system senses and determines, in real time, user contextual information, such as where the user is or what the user does, by processing signals from the microphone and the camera embedded in the mobile device. An initial implementation of the algorithms into a smart phone...
In our work we envision the use of context awareness to complement and improve telemedicine services. One concrete example is the recognition of physical activity (PA) for therapies and treatments. The usage of context can provide newer services by assisting medical professionals and patients to obtain implicit information. We introduce the Context Aware Remote Monitoring Assistant (CARMA), an application...
Ubiquitous computing envisions applications that provide seamless and distraction-free support for everyday tasks. To achieve this goal, applications must be able to adapt to their environment and to the intents of their users. Thereby, they need to automate adaptation decisions to minimize the resulting distraction. As a consequence, it is necessary to acquire an understanding of the user’s current...
This paper describes the design and implementation of location and situation based adventure games. The prototype uses different types of sensor data - including 3D acceleration data and XPS - to determine the current positions and activities of the players. Depending on the continuous classification, data and quests are retrieved accordingly from a central information system and visualised for the...
With the proliferation of mobile devices, the challenge today is to provide users with applications that are of real value. These applications are, in most of the cases, mobilized versions of desktop applications that fit the contextual requirements of mobility constraints. When developed from a desktop application, it is difficult to align the mobile application with user expectations because of...
In this paper, we present a new method to extract product entity from Chinese customer reviews. The approach requires no segmentation, no domain dictionary and little prior domain knowledge, which is more suitable for domain with resource-limited. Quite different from the previous work, the proposed method first get the entity candidates use a general version bootstrapping algorithm and then distribute...
In this paper, we describe the design and implementation of a location and situation based pervasive mobile adventure game named Sportix. The prototype uses different kinds of sensor data - including 3D acceleration data and XPS - to determine the current position and activity of the player. Depending on the firm classification, data and quests are retrieved accordingly from a central information...
Inference of high-level context is becoming crucial in development of context-aware applications. An example is social context inference - i.e., deriving social relations based upon the user's daily communication with other people. The efficiency of this mechanism mainly depends on the method(s) used to draw inferences based on existing evidence and sample information, such as a training data. Our...
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