IEEE Transactions on Consumer Electronics Journal Impact Factor & Information

Publisher: IEEE International Conference on Consumer Electronics; IEEE Consumer Electronics Society; IEEE Broadcast, Cable, and Consumer Electronics Society; IEEE Consumer Electronics Group, Institute of Electrical and Electronics Engineers

Journal description

The technical aspects of all consumer electronics products. Papers published concentrate on new technology oriented to consumer electronics. Many are selected from the International Conference on Consumer Electronics presentations. News of the Society's meetings and activities are also a part of this journal.

Current impact factor: 1.05

Impact Factor Rankings

2015 Impact Factor Available summer 2016
2014 Impact Factor 1.045
2013 Impact Factor 1.157
2012 Impact Factor 1.087
2011 Impact Factor 0.941
2010 Impact Factor 1.038
2009 Impact Factor 0.942
2008 Impact Factor 0.985
2007 Impact Factor 0.734
2006 Impact Factor 0.727
2005 Impact Factor 0.6
2004 Impact Factor 0.423
2003 Impact Factor 0.428
2002 Impact Factor 0.498
2001 Impact Factor 0.367
2000 Impact Factor 0.333
1999 Impact Factor 0.356
1998 Impact Factor 0.32
1997 Impact Factor 0.233
1996 Impact Factor 0.242
1995 Impact Factor 0.267
1994 Impact Factor 0.252
1993 Impact Factor 0.275
1992 Impact Factor 0.227

Impact factor over time

Impact factor

Additional details

5-year impact 1.16
Cited half-life 6.50
Immediacy index 0.18
Eigenfactor 0.01
Article influence 0.33
Website IEEE Transactions on Consumer Electronics website
Other titles IEEE transactions on consumer electronics, Institute of Electrical and Electronics Engineers transactions on consumer electronics
ISSN 0098-3063
OCLC 2241216
Material type Periodical, Internet resource
Document type Journal / Magazine / Newspaper, Internet Resource

Publisher details

Institute of Electrical and Electronics Engineers

  • Pre-print
    • Author can archive a pre-print version
  • Post-print
    • Author can archive a post-print version
  • Conditions
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    • Author's pre-print must be accompanied with set-phrase, when accepted by IEEE for publication ("(c) 20xx IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.")
    • IEEE must be informed as to the electronic address of the pre-print
    • If funding rules apply authors may post Author's post-print version in funder's designated repository
    • Author's Post-print - Publisher copyright and source must be acknowledged with citation (see above set statement)
    • Author's Post-print - Must link to publisher version with DOI
    • Publisher's version/PDF cannot be used
    • Publisher copyright and source must be acknowledged
  • Classification

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: To assist visually impaired people, a variety of obstacle detection (OD) methods with the monocular vision have been developed. Most conventional OD methods detect the obstacle by using the variation of the motion vector or the object size between two consecutive image frames. However, the OD performance using the short-term variation is significantly affected by the tracking error, which leads to inaccurate OD results. To cope with this problem, this paper presents a novel OD method based on a new structure, called Deformable Grid (DG). The DG is initially a regular gridshaped, but it can be deformed gradually depending on the motion of the object in the scene. The proposed method detects the object at risk of collision based on the degree of the deformation of the DG. Experimental results demonstrate that the proposed OD method outperforms the conventional ones in terms of processing time as well as accuracy.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):376-383. DOI:10.1109/TCE.2015.7298298
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    ABSTRACT: Internet of things recently emerges as a common platform and service for consumer electronics. This paper presents an interactive framework of visualizing and authoring IoT in indoor environments such as home or small office. Building blocks of the framework are virtual sensors and actuators that abstract physical things and their virtual behaviors on top of their physical networks. Their behaviors are abstracted and programmed through visual authoring tools on the web, which allows a casual consumer to easily monitor and define their behaviors even without knowing the underlying physical connections. The user study performed to assess the usability of the visual authoring showed that the visual authoring is easy to use, understandable, and also preferred to typical text-based script programming.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):295-301. DOI:10.1109/TCE.2015.7298088
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    ABSTRACT: Limited processing power, hand pose variations, complicated backgrounds and changing illumination are some of the inherent problems in mobile palmprint recognition. In this paper, a hand-shaped guide window is proposed for fast processing of image acquisition, valley point detection and verification to deal with such problems. Also, an improved version of the Competitive Code is proposed in order to cope with the variation in mobile images, and two practical verification scenarios are suggested to further improve the verification performance. A palmprint database was established using mobile phones for experiments, and an equal error rate (EER) of 2.88% was achieved by using the conventional 1-to-1 matching strategy. By applying the suggested practical scenarios, the verification accuracy was improved to achieve an EER of 0.97%.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):311-319. DOI:10.1109/TCE.2015.7298090
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    ABSTRACT: This paper presents a multi-frame superresolution approach to reconstruct a high-resolution image from several low-resolution video frames. The proposed algorithm consists of three steps: i) definition of a local search region for the optimal patch using motion vectors, ii) adaptive selection of the optimum patch based on lowresolution image degradation model, and iii) combination of the optimum patch and reconstructed image. As a result, the proposed algorithm can remove interpolation artifacts using directionally adaptive patch selection based on the lowresolution image degradation model. Moreover, superresolved images without distortion between consecutive frames can be generated. The proposed method provides a significantly improved super-resolution performance over existing methods in the sense of both subjective and objective measures including peak-to-peak signal-to-noise ratio (PSNR), structural similarity measure (SSIM), and naturalness image quality evaluator (NIQE). The proposed multi-frame super-resolution algorithm is designed for realtime video processing hardware by reducing the search region for optimal patches, and suitable for consumer imaging devices including ultra-high-definition (UHD) digital televisions, surveillance systems, and medical imaging systems for image restoration and enhancement.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):353-358. DOI:10.1109/TCE.2015.7298295
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    ABSTRACT: This paper presents a novel wake-up consumer device for emergency alert service in T-DMB systems. The wakeup apparatus can activate a disabled T-DMB receiver in order to receive the emergency alert message in the case of emergency. The proposed wake-up method consists of two stages. As the first stage, the wake-up technique performs a coarse detection. A simple correlation is utilized in the coarse detection. For the correlation, a predefined preamble is used during the null-symbol time in the T-DMB frame. Then, a fine detection is performed as the second stage. For the fine detection, a flag detection method is proposed, which gives better detection performance than the conventional detection approach. Furthermore, the wake-up scheme can enhance the receiver performance for emergency alert service in T-DMB systems. Once the wake-up signal is identified, the enabled T-DMB receiver activates an advanced channel estimator for better receiver performance. The advanced channel estimator relies on an adaptive estimation method for more accurate estimation, which leads to the enhanced emergency alert service in T-DMB systems.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):286-294. DOI:10.1109/TCE.2015.7298087
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    ABSTRACT: A number of integrated broadcast-broadband services have recently been launched which allow the viewers to receive the content via the airwaves together with additional information about the content via the Internet. By providing personal preferences viewers can expect more attractive and personalized services. Viewers would be only willing to share their information with providers that they trust. On the other hand, the viewers would like to distribute their preferences as wide as possible so that they can enjoy more interesting and diverse services. In this paper, a privacy preserving system for integrated broadcast-broadband service is proposed. The system allows viewers to share their personal information with service providers that satisfy certain criteria (possess certain attributes). An implementation of the system using a previously proposed attribute-based encryption scheme is given and the computation cost of the system is examined in practice. Using the system, a viewer can safely receive personalized services from a large number of service providers.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):328-335. DOI:10.1109/TCE.2015.7298092
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    ABSTRACT: Most modern smart TV set-top boxes support internet connection and allow the user to install and run more advanced application programs or plugins/add-ons based on a specific platform. It means that a smart TV set-top box can be a good candidate to act as a hub that combines a wide variety of solutions for smart home services. This paper proposes a home appliance control framework based on a smart TV set-top box. As a core component, a home gateway software module is installed on the smart TV set-top box. And the architecture of the home gateway module is designed so that a home appliance control driver is installed only when necessary. To enable the user to control their home appliances in any place using a Web-based application or a Web browser, the proposed framework supports a WebSocket protocol-based data communication and comprises a Web server where each set-top box???s network location is registered. The proposed framework is verified with a demonstration on a small-scale home model. Both IP-based and serial communication-based home appliances are included in the demonstration system. The demonstration examples show that consumers can control various types of home appliances in any place through a smart TV set-top box solution.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):279-285. DOI:10.1109/TCE.2015.7298086
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    ABSTRACT: In consideration of an increasing demand to adopt the biometric technology to minimize potential security risks, the paper presents a consumer-level biometric system for automatic physical access control. Through development of a near infrared imaging device for biometric acquisition of dorsal hand vein patterns and computation efficient image processing methods, the proposed system is shown to possess a range of desirable operation characteristics for real-world use, which include reliable in identification, convenient to use, high in security, fast in response, low in cost, and simple for installation.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):320-327. DOI:10.1109/TCE.2015.7298091
  • [Show abstract] [Hide abstract]
    ABSTRACT: Though ubiquitous, the full potential of consumer electronic devices in the home, as content creators, remains underutilized due to the limited interaction between the consumers and the existing on-demand application and media services. Although services such as interactive television could change this, the geographic distribution of groups of consumers and the need for on-the-fly media processing that this entails, makes the efficient utilization of resources a complex optimization task requiring mechanisms to simultaneously allocate processing and network resources to groups of users. However, these technologies have not yet been developed, and brute force methods remain prohibitively complex. In order to overcome this problem, this paper proposes heuristic algorithms to both generate end-to-end delay bound multicast trees for individual groups of users and to co-locate multiple multicast trees, such that a minimum group quality metric can be satisfied. The performance of the proposed heuristic solution is evaluated in terms of the serving probability, i.e., the resource utilization efficiency, and computation time of the resource allocation decision making process. Simulation results show that improvements in the serving probability of up to 50%, in comparison with existing generic resource allocation schemes, and several orders of magnitude reduction of the computation time, in comparison to an optimal linear programming solution approach, can be achieved.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):344-352. DOI:10.1109/ICCE.2015.7066322
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    ABSTRACT: This paper presents a novel algorithm for the detection and tracking of low relative speed moving vehicles. The proposed algorithm is particularly suitable for massproduced in-vehicle devices as it combines with motion vector based moving object detection to form a complete solution for an Advanced Driver Assistance System given its reduction in cost and complexity. The algorithm utilizes motion vectors that are readily available from video encoder output. The region of interest for detection is reduced by ignoring the area above the vanishing line of the captured image, evaluation of the amplitude of motion vectors and identification of the road region. During the evaluation process, a binary image is generated by comparing the gray-level of the captured image to the gray-level of the detected road region. Subsequently, the horizontal and vertical contours of specific areas inside the region of interest are evaluated. Test results show the effectiveness of the algorithm with more than 90% detection rate and the suitability for real-time use with cycle time of less than 66ms.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):384-392. DOI:10.1109/TCE.2015.7298299
  • [Show abstract] [Hide abstract]
    ABSTRACT: Tablet adoption is massive and increasing. Many applications are leveraging this marked widespread, including digital interactive books. A proposal for an educational and accessible digital book reader in mobile devices is presented, focusing on people with visual impairment. An implementation was developed, aiming to complement digital accessible books for education. The work presents a digital book with support for knowledge assessing, text reading, worksheets, drawing and tactile images and maps.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):271-278. DOI:10.1109/TCE.2015.7298085
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    ABSTRACT: It is a challenging work to reproduce the high resolution (HR) image from a noisy low resolution input while preserving its edge structures. In this paper, a fast noise-robust interpolation method is proposed. In the proposed method, the edge information of a pixel to be interpolated is first estimated using a local curvature (LC), which is a second-order directionalderivative obtained from its local neighborhoods. Based on the edge information of the pixel, edge-adaptive interpolation with noise reduction is performed using the proposed LC adaptive filter whose kernel is adaptively determined by comparing the LC values along the two orthogonal directions. A refinement procedure is adopted to further enhance the edge information of the HR image by applying a Laplacian subtraction method using the precomputed LC values. Experimental results show that the proposed method can preserve the edge sharpness while suppressing noise, with low computational complexity.
    IEEE Transactions on Consumer Electronics 08/2015; 61(3):368-375. DOI:10.1109/TCE.2015.7298297
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    ABSTRACT: Due to its mobile capability when performing house-cleaning function in absence of home owners, a cleaning robot has sufficient capacity to be fully utilized as an automatic surveillance system for indoor security. While many research efforts have been made recently to provide a robot understand the auditory environment, there are still many obstacles to overcome. One of the most serious challenges encountered in providing accurate auditory scene analysis is the presence of robot ego noise. Robot ego noise is primarily generated by the embedded motors on a robot during its operation. This paper proposes a new filterbank design based on discriminative distances within event-to-noise and event-to-event, respectively. The proposed filterbank essentially is designed to provide reliable recognition under cleaning robot ego noise through the result of event spectrum analysis. The experimental results indicate that the features extracted by the proposed filterbank are more robust than the conventional ones.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):189-196. DOI:10.1109/TCE.2015.7150593
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    ABSTRACT: This paper generalizes the capacitive touch sensing problem in a form of weighing matrices which cover Walsh-Hadamard, 4k-order Hadamard, and other types of weighing matrices. The existing regular Hadamard matrix, conference matrix, and other matrices that have a small sum of column weights, increase the signal sensitivity as well as signal-to-noise ratio for the capacitive signals. Experiments show that the proposed design approach and the various types of weighing matrices can meet the different design requirements. The results of this research show that a sophisticated weighing matrix improves sensitivity three times higher than the time-multiplexed method.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):261-269. DOI:10.1109/TCE.2015.7150602
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    ABSTRACT: Demand for flash memory based storage systems is on the rise because flash memory has many advantages when compared with hard disk drives, such as lower latency and resistance to physical shock. However, flash memory permits only a limited number of program/erase (P/E) cycles, and after the guaranteed number of P/E cycles, data cannot be reliably retrieved due to uncorrectable errors. Given a target bit error rate, the guaranteed number of P/E cycles decreases as more bits are stored in one cell and as the cell size is scaled down. In this paper, a novel lifetime extension mechanism for flash memory, referred to as a gradual error correction code (GECC), is proposed. A G-ECC provides a stronger level of error correction than a standard ECC by sacrificing a small portion of storage capacity in order to store additional parity bits. The proposed method can extend the lifetime of flash memory by 124% at the cost of a 12% loss in capacity. The use of additional parity bits necessarily leads to performance loss due to increased accesses for those additional parity bits and garbage collection operations involving those bits. Thus, methods to alleviate such performance loss are proposed; these methods reduce the performance overhead from 17% (without the proposed methods) to 3% even in the worst case.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):206-214. DOI:10.1109/TCE.2015.7150595
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    ABSTRACT: As a near ideal biometric, iris authentication is widely used and mobile acquisition techniques are known. But iris acquisition on handheld imaging devices, such as smartphones, poses multiple, unique challenges. In this paper, a range of factors that affect the quality of iris images are reviewed. Iris size, image quality and acquisition wavelength are found to be key factors. Experimental results are presented confirming the lower limits of iris size for useful authentication performance. The authentication workflow for handheld devices is described. A case study on a current smartphone model is presented, including calculation of the pixel resolution that can be achieved with a visible-only optical system. Based on these analyses, system requirements for unconstrained acquisition in smartphones are discussed. Several design strategies are presented and key research challenges are outlined together with potential solutions.
    IEEE Transactions on Consumer Electronics 05/2015; 61(2):245-253. DOI:10.1109/TCE.2015.7150600