共查询到20条相似文献,搜索用时 46 毫秒
1.
We present an enhancement towards adaptive video training for PhoneGuide, a digital museum guidance system for ordinary camera-equipped
mobile phones. It enables museum visitors to identify exhibits by capturing photos of them. In this article, a combined solution
of object recognition and pervasive tracking is extended to a client–server-system for improving data acquisition and for
supporting scale-invariant object recognition. A static as well as a dynamic training technique are presented that preprocess
the collected object data differently and apply two types of neural networks (NN) for classification. Furthermore, the system
enables a temporal adaptation for ensuring a continuous data acquisition to improve the recognition rate over time. A formal
field experiment reveals current recognition rates and indicates the practicability of both methods under realistic conditions
in a museum.
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2.
We introduce a system for sensing complex social systems with data collected from 100 mobile phones over the course of 9 months.
We demonstrate the ability to use standard Bluetooth-enabled mobile telephones to measure information access and use in different
contexts, recognize social patterns in daily user activity, infer relationships, identify socially significant locations,
and model organizational rhythms.
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3.
With the proliferation of digital cameras and self-publishing of photos, automatic detection of image orientation has become
an important part of photo-management systems. In this paper, we present a novel system, based on combining the outputs of
hundreds of classifiers trained with AdaBoost, to determine the upright orientation of an image. We thoroughly test our system
on photos gathered from professional and amateur photo collections that have been taken with a variety of cameras (digital,
film, camera phones). The test images include photos that are in color and black and white, realistic and abstract, and outdoor
and indoor. As this system is intended for mass consumer deployment, efficiency in use and accessibility is paramount. Results
show that the presented method surpasses similar methods based on Support Vector Machines, in terms of both accuracy and feasibility
of deployment.
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4.
3D computer graphics have been an important feature in games development since it was first introduced in the early 80s and
there is no doubt that 3D based content is often viewed as more attractive in games than the more abstract 2D graphics. Many
games publishers are keen to leverage their success in the console market into the mobile phone platform. However, the resource
constraints of mobile phones and the fragmented nature of the environment present considerable challenges for games developers.
In this paper we consider some of the current constraints together with current and, probable, future developments both in
the software and hardware of mobile phones. As part of this process we benchmark some of the latest and most prevalent software
and hardware devices to ascertain both the quality of the graphics produced and the effects upon battery life. Whilst our
test results highlight that the current market does indeed present challenges, our research into the future developments highlights
the fact we are approaching greater standardization, which will be an important factor for the successful development of 3D
mobile games.
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5.
Listening to music on personal, digital devices whilst mobile is an enjoyable, everyday activity. We explore a scheme for
exploiting this practice to immerse listeners in navigation cues. Our prototype, ONTRACK, continuously adapts audio, modifying
the spatial balance and volume to lead listeners to their target destination. First we report on an initial lab-based evaluation
that demonstrated the approach’s efficacy: users were able to complete tasks within a reasonable time and their subjective
feedback was positive. Encouraged by these results we constructed a handheld prototype. Here, we discuss this implementation
and the results of field-trials. These indicate that even with a low-fidelity realisation of the concept, users can quite
effectively navigate complicated routes.
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6.
A number of mobile applications have emerged that allow users to locate one another. However, people have expressed concerns
about the privacy implications associated with this class of software, suggesting that broad adoption may only happen to the
extent that these concerns are adequately addressed. In this article, we report on our work on P eopleF inder, an application that enables cell phone and laptop users to selectively share their locations with others (e.g. friends,
family, and colleagues). The objective of our work has been to better understand people’s attitudes and behaviors towards
privacy as they interact with such an application, and to explore technologies that empower users to more effectively and
efficiently specify their privacy preferences (or “policies”). These technologies include user interfaces for specifying rules
and auditing disclosures, as well as machine learning techniques to refine user policies based on their feedback. We present
evaluations of these technologies in the context of one laboratory study and three field studies.
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7.
Awareness systems have attracted significant research interest for their potential to support interpersonal relationships.
Investigations of awareness systems for the domestic environment have suggested that such systems can help individuals stay
in touch with dear friends or family and provide affective benefits to their users. Our research provides empirical evidence
to refine and substantiate such suggestions. We report our experience with designing and evaluating the ASTRA awareness system,
for connecting households and mobile family members. We introduce the concept of connectedness and its measurement through
the Affective Benefits and Costs of communication questionnaire (ABC-Q). We inform results that testify the benefits of sharing
experiences at the moment they happen without interrupting potential receivers. Finally, we document the role that lightweight,
picture-based communication can play in the range of communication media available.
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8.
The complexity of group dynamics occurring in small group interactions often hinders the performance of teams. The availability
of rich multimodal information about what is going on during the meeting makes it possible to explore the possibility of providing
support to dysfunctional teams from facilitation to training sessions addressing both the individuals and the group as a whole.
A necessary step in this direction is that of capturing and understanding group dynamics. In this paper, we discuss a particular
scenario, in which meeting participants receive multimedia feedback on their relational behaviour, as a first step towards
increasing self-awareness. We describe the background and the motivation for a coding scheme for annotating meeting recordings
partially inspired by the Bales’ Interaction Process Analysis. This coding scheme was aimed at identifying suitable observable
behavioural sequences. The study is complemented with an experimental investigation on the acceptability of such a service.
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9.
In the age of speech and voice recognition technologies, sign language recognition is an essential part of ensuring equal
access for deaf people. To date, sign language recognition research has mostly ignored facial expressions that arise as part
of a natural sign language discourse, even though they carry important grammatical and prosodic information. One reason is
that tracking the motion and dynamics of expressions in human faces from video is a hard task, especially with the high number
of occlusions from the signers’ hands. This paper presents a 3D deformable model tracking system to address this problem,
and applies it to sequences of native signers, taken from the National Center of Sign Language and Gesture Resources (NCSLGR),
with a special emphasis on outlier rejection methods to handle occlusions. The experiments conducted in this paper validate
the output of the face tracker against expert human annotations of the NCSLGR corpus, demonstrate the promise of the proposed
face tracking framework for sign language data, and reveal that the tracking framework picks up properties that ideally complement
human annotations for linguistic research.
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10.
Nowadays data mining plays an important role in decision making. Since many organizations do not possess the in-house expertise
of data mining, it is beneficial to outsource data mining tasks to external service providers. However, most organizations
hesitate to do so due to the concern of loss of business intelligence and customer privacy. In this paper, we present a Bloom
filter based solution to enable organizations to outsource their tasks of mining association rules, at the same time, protect
their business intelligence and customer privacy. Our approach can achieve high precision in data mining by trading-off the
storage requirement.
This research was supported by the USA National Science Foundation Grants CCR-0310974 and IIS-0546027.
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11.
This paper investigates text entry on mobile devices using only five-keys. Primarily to support text entry on smaller devices
than mobile phones, this method can also be used to maximise screen space on mobile phones. Reported combined Fitt’s law and
keystroke modelling predicts similar performance with bigram prediction using a five-key keypad as is currently achieved on
standard mobile phones using unigram prediction. User studies reported here show similar user performance on five-key pads
as found elsewhere for novice nine-key pad users.
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12.
This paper describes the simulated car racing competition that was arranged as part of the 2007 IEEE Congress on Evolutionary
Computation. Both the game that was used as the domain for the competition, the controllers submitted as entries to the competition
and its results are presented. With this paper, we hope to provide some insight into the efficacy of various computational
intelligence methods on a well-defined game task, as well as an example of one way of running a competition. In the process,
we provide a set of reference results for those who wish to use the simplerace game to benchmark their own algorithms. The paper is co-authored by the organizers and participants of the competition.
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13.
Support vector machines (SVMs) have been promising methods for classification and regression analysis due to their solid mathematical
foundations, which include two desirable properties: margin maximization and nonlinear classification using kernels. However,
despite these prominent properties, SVMs are usually not chosen for large-scale data mining problems because their training
complexity is highly dependent on the data set size. Unlike traditional pattern recognition and machine learning, real-world
data mining applications often involve huge numbers of data records. Thus it is too expensive to perform multiple scans on
the entire data set, and it is also infeasible to put the data set in memory. This paper presents a method, Clustering-Based SVM (CB-SVM), that maximizes the SVM performance for very large data sets given a limited amount of resource, e.g., memory. CB-SVM applies
a hierarchical micro-clustering algorithm that scans the entire data set only once to provide an SVM with high quality samples.
These samples carry statistical summaries of the data and maximize the benefit of learning. Our analyses show that the training
complexity of CB-SVM is quadratically dependent on the number of support vectors, which is usually much less than that of
the entire data set. Our experiments on synthetic and real-world data sets show that CB-SVM is highly scalable for very large
data sets and very accurate in terms of classification.
A preliminary version of the paper, “ Classifying Large Data Sets Using SVM with Hierarchical Clusters”, by H. Yu, J. Yang, and J. Han, appeared in Proc. 2003 Int. Conf. on Knowledge Discovery in Databases (KDD'03), Washington, DC, August 2003. However, this submission has substantially extended the previous paper and contains new and
major-value added technical contribution in comparison with the conference publication.
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14.
Quantitative usability requirements are a critical but challenging, and hence an often neglected aspect of a usability engineering process. A case study is described where quantitative usability requirements played a key role in the development of a new user interface of a mobile phone. Within the practical constraints of the project, existing methods for determining usability requirements and evaluating the extent to which these are met, could not be applied as such, therefore tailored methods had to be developed. These methods and their applications are discussed. 相似文献
15.
We present a study of using camera-phones and visual-tags to access mobile services. Firstly, a user-experience study is described in which participants were both observed learning to interact with a prototype mobile service and interviewed
about their experiences. Secondly, a pointing-device task is presented in which quantitative data was gathered regarding the speed and accuracy with which participants aimed and clicked
on visual-tags using camera-phones. We found that participants’ attitudes to visual-tag-based applications were broadly positive,
although they had several important reservations about camera-phone technology more generally. Data from our pointing-device
task demonstrated that novice users were able to aim and click on visual-tags quickly (well under 3 s per pointing-device
trial on average) and accurately (almost all meeting our defined speed/accuracy tradeoff of 6% error-rate). Based on our findings,
design lessons for camera-phone and visual-tag applications are presented.
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17.
In the near future, it will be possible to continuously record and store the entire audio–visual lifetime of a person together
with all digital information that the person perceives or creates. While the storage of this data will be possible soon, retrieval
and indexing into such large data sets are unsolved challenges. Since today’s retrieval cues seem insufficient we argue that
additional cues, obtained from body-worn sensors, make associative retrieval by humans possible. We present three approaches
to create such cues, each along with an experimental evaluation: the user’s physical activity from acceleration sensors, his
social environment from audio sensors, and his interruptibility from multiple sensors.
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18.
The Stanford Event Heap has been shown to provide appropriate support for constructing interactive workspace applications.
Given this success it is natural to consider the Event Heap as a platform to support other classes of Ubiquitous Computing
applications. In this paper we argue that the distributed, spontaneous nature of these applications places additional demands
on the Event Heap that require extensions to both the engineering and API. Suitable extensions are described and their use
to support a typical Ubicomp application is discussed.
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19.
Topological sensitivity analysis is performed for the piecewise constant Mumford-Shah functional. Topological and shape derivatives
are combined in order to derive an algorithm for image segmentation with fully automatized initialization. Segmentation of
2D and 3D data is presented. Further, a generalized Mumford-Shah functional is proposed and numerically investigated for the
segmentation of images modulated due to, e.g., coil sensitivities.
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20.
The European Union co-funded COMUNICAR (communication multimedia unit inside car) project designed and developed an integrated multimedia human–machine interface (HMI) able to manage a wide variety of driver information systems (from entertainment to safety). COMUNICAR proposed an innovative information provision paradigm, in which the on-vehicle HMI is able to tailor the delivery of the information in real time according to the actual driving context and the drivers workload. COMUNICAR adopted a user-centred design process involving an iterative development based on extensive user tests since the early phases of the project. This approach was particularly useful to define and improve the layout of the user interface and specify the rules that decide the scheduling and the modalities of the delivery of the information messages to the driver. This paper introduces the COMUNICAR concept and the user-centred flow of design. Then, a concrete case of user-test driven, iterative improvement of a systems functionality is presented. We also briefly describe two software tools that we have designed to enhance the development process in a user-centred perspective. Finally, the future evolution of the concept of smart and safe information scheduling is sketched and discussed. 相似文献
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