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IEEE International Conference on Consumer Electronics (ICCE)

作者： Zhao, Yang Laflen, J. Brandon GE Global Res Ctr Sensor & Signal Analyt Lab Niskayuna NY 12309 USA

ISBN: (纸本)9781479912919

Accelerometer-based gesture recognition enables natural user interaction of handheld tools with PC and other devices. Dynamic time warping (dtw) can achieve high recognition accuracy and does not require extensive training. However, for applications with noisy data and limited data bandwidth, the performance of dtw algorithm decreases significantly. We propose a new gesture recognition method that is robust to low quality signals. We introduce a simple template selection step to obtain robust templates for dtw. Our experimental results show that our algorithm achieves an average 92% classification accuracy even under noisy and low bandwidth situations.

关键词： Bluetooth gesture recognition time warp simulation user interfaces dtw algorithm accelerometer-based gesture recognition data bandwidth dynamic time warping low energy Bluetooth 4.0 low quality signal noisy data recognition accuracy template selection step Accelerometers Accuracy Gesture recognition Heuristic algorithms Robustness Signal to noise ratio Training

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Social Activity Recognition and Recommendation based on Mobile Sound Sensing

Social Activity Recognition and Recommendation based on Mobi...

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IEEE 10th International Conference on Ubiquitous Intelligence and Computing (UIC) / IEEE 10th International Conference on Autonomic and Trusted Computing (ATC)

作者： Yang, Yao Guo, Bin Yu, Zhiwen He, Huilei Northwestern Polytech Univ Sch Software & Microelect Xian 710072 Peoples R China Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China

ISBN: (纸本)9781479924813

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.). In this paper, we present a mobile phone based social activity recommendation system based on background sound recognition. We first propose a method to analyze background sound signals of different activities, where a combination of the Mel frequency cepstral coefficients (MFCCs) and several other sound features are extracted. Based on these features, the Dynamic Time Warping (dtw) with limited-path searching algorithm is used to recognize different human activities. The information online (friend relationship and online interaction history) is adopted to measure the intimacy among users. Finally, we present an algorithm that combines the distance, user preference and intimacy features for activity ranking and recommendation. Experimental results show that the proposed approach is effective and useful.

关键词： Social context awareness Background sound recognition Mel frequency cepstral coefficients (MFCC) dtw algorithm Friend intimacy Activity recommendation

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An EMG-based Handwriting Recognition through Dynamic Time Warping

An EMG-based Handwriting Recognition through Dynamic Time Wa...

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32nd Annual International Conference of the IEEE Engineering-in-Medicine-and-Biology-Society (EMBC 10)

作者： Huang, Gan Zhang, Dingguo Zheng, Xidian Zhu, Xiangyang Shanghai Jiao Tong Univ State Key Lab Mech Syst & Vibrat Shanghai 200240 Peoples R China

ISBN: (纸本)9781424441242

In this paper, an electromyography (EMG)-based handwriting recognition method was proposed for a latent tendency of natural user interface. The subjects wrote the characters at a normal speed, and six channels of EMG signals were recorded from forearm muscles. The dynamic time warping (dtw) algorithm was used to eliminate the time axis variance during writing. The process for template making and matching was illustrated diagrammatically. The results showed that no more than ten training trials per character could make an accuracy of above 90%. The recognition performance was compared in three character sets: digits, Chinese characters and capital letters.

关键词： Chinese character set dtw algorithm EMG based handwriting recognition biomechanics capital letter character set digit character set dynamic time warping algorithm electromyography electromyography forearm muscles handwriting recognition natural user interface signal processing template making template matching user interfaces

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On the Privacy of Encrypted Skype Communications

On the Privacy of Encrypted Skype Communications

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IEEE Global Telecommunications Conference (GLOBECOM 2010)

作者： Dupasquier, Benoit Burschka, Stefan McLaughlin, Kieran Sezer, Sakir Queens Univ Belfast Ctr Secure Informat Technol CSIT Belfast Antrim North Ireland

ISBN: (纸本)9781424456383

The privacy of voice over IP (VoIP) systems is achieved by compressing and encrypting the sampled data. This paper investigates in detail the leakage of information from Skype, a widely used VoIP application. In this research, it has been demonstrated by using the dynamic time warping (dtw) algorithm, that sentences can be identified with an accuracy of 60%. The results can be further improved by choosing specific training data. An approach involving the Kalman filter is proposed to extract the kernel of all training signals.

关键词： dtw algorithm Internet telephony Kalman filter Kalman filters VoIP system privacy cryptography data compression data privacy dynamic time warping encrypted Skype communication voice over IP

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Utterance Verification On dtw Based Speech Recognition Using Likelihood

Utterance Verification On DTW Based Speech Recognition Using...

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The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

作者： Qian Liu Zhang-qin Huang Yi-bin Hou Rui Chen Embedded Software System Institute Beijing University of Technology Beijing China

ISBN: (纸本)9781424472352

Utterance verification provides the speech recognition system a user-friendly interaction. However, smallvocabulary system using dtw algorithm cannot afford HMM based utterance verification. So, to equip the dtw based recognizer with effective utterance verification becomes an essential problem in a low computational application. We proposed a new utterance verification method, combining both statistic and distance measure capability, to map dtw distance to a certain likelihood. The likelihood as a confidence measure performs a good ability of both speech recognition and utterance verification. With a test set of fifteen words, at 5.24％ false rejection, the verification method brought on 10.44％ false alarm rate and 93.61％ accuracy. Furthermore, 94.76％ out-of-vocabulary utterances were correctly rejected.

关键词： utterance verification speech recognition dtw algorithm likelihood

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Different role of friction and normal force for force-based signature verification

Different role of friction and normal force for force-based ...

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2nd International Congress on Image and Signal Processing

作者： Jiao, Huimin Wang, Dangxiao Zhang, Yuru Beihang Univ State Key Lab Virtual Real Technol & Syst Beijing 100191 Peoples R China

ISBN: (纸本)9781424441303

Compared with trajectory-based verification, force signal verification is a new approach in signature verification, which is expected to provide higher security. In order to understand which components of force signal is significant in force pattern, a novel pen is developed to detect three-dimensional force between pen-tip and the paper. Experiments are carried out to compare the verification performance between different force components with Dynamic Time Warping (dtw) algorithm. The existence of force features during writing is validated. The equal error rate in the case of using the normal force signal is lower than that of using the three-dimensional force signals about three times. The experiments results show that friction is important to maintain high verification for the signature verification based on the force feature during writing.

关键词： Signature verification dtw algorithm biometrics

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Adult movie filtering based dtw and neural network

Adult movie filtering based DTW and neural network

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2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008

作者： Cho, Jungik Lee, Yilltayung Yonsei University Seoul Korea Republic of

ISBN: (纸本)1601320787

In recent year, there has been a dynamic increase in the availability of video material. This paper will suggest two methods to distinguish between general contents and adult contents by analyzing the audio information within the contents. The two methods do not attempt the very good solution to divide the contents, but the goal is to improve performance. The two methods are distributed to two different approaches: one is dtw algorithm. And the other is neural network The dtw generally yields useful value which approach these divided contents. This method will provide an improved filtering technique than that has existed so far. But the neural network method does not propose the result.

关键词： Adult contents filtering dtw algorithm

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Fusion of global and local information for an on-line signature verification system

Fusion of global and local information for an on-line signat...

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7th International Conference on Machine Learning and Cybernetics

作者： Liu, Ning-Ning Wang, Yun-Hong Beihang Univ Sch Engn & Comp Sci Intelligent Recognit & Image Proc Lab Beijing 100083 Peoples R China

ISBN: (纸本)9781424420957

In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as 13-dimensional vector and recognized by Majority Classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global and local information and introducing an enhanced dynamic time warping algorithm and a normalized feature measure, our method obtained an average EER of 4.02% on public database SVC2004(First Signature Verification Competition 2004) Task2 compared to 6.90% the first place at SVC2004.

关键词： biometrics online signature verification dtw algorithm two stage fusion

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FUSION OF GLOBAL AND LOCAL INFORMATION FOR AN ON-LINE SIGNATURE VERIFICATION SYSTEM

FUSION OF GLOBAL AND LOCAL INFORMATION FOR AN ON-LINE SIGNAT...

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2008 International Conference on Machine Learning and Cybernetics(2008机器学习与控制论国际会议)

作者： NING-NING LIU YUN-HONG WANG Intelligent Recognition and Image Processing Laboratory School of Computer Science and Engineering Beihang University Beijing 100083 China

In this paper, an on-line signature verification system exploiting local and global information using two-stage fusion is presented. At the first stage, global information is extracted as I3-dimensional vector and recognized by Majority Classifiers, and then local information is extracted as time functions of various dynamic properties and recognized by BP neural network classifier. By fusing global and local information and introducing an enhanced dynamic time warping algorithm and a normalized feature measure, our method obtained an average EER of 4.02％ on public database SVC2004( First Signature Verification Competition 2004) Task2 compared to 6.90％ the first place at SVC2004.

关键词： Biometrics online signature verification dtw algorithm two stage fusion

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SPEAKER-INDEPENDENT RECOGNITION OF ISOLATED WORDS USING CONCATENATED NEURAL NETWORKS

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International Journal of Pattern Recognition and Artificial Intelligence 1991年第5期5卷 693-714页

作者： CHUNG-HSIEN WU JHING-FA WANG CHAUG-CHING HUANG JAU-YIEN LEE Department of Electrical Engineering National Cheng Kung University Tainan Taiwan R.O.C.

A speaker-independent isolated word recognizer is proposed. It is obtained by concatenating a Bayesian neural network and a Hopfield time-alignment network. In this system, the Bayesian network outputs the a posteriori probability for each speech frame, and the Hopfield network is then concatenated for time warping. A proposed splitting Learning Vector Quantization (LVQ) algorithm derived from the LBG clustering algorithm and the Kohonen LVQ algorithm is first used to train the Bayesian network. The LVQ2 algorithm is subsequently adopted as a final refinement step. A continuous mixture of Gaussian densities for each frame and multi-templates for each word are employed to characterize each word pattern. Experimental evaluation of this system with four templates/word and five mixtures/frame, using 53 speakers (28 males, 25 females) and isolated words (10 digits and 30 city names) databases, gave average recognition accuracies of 97.3%, for the speaker-trained mode and 95.7% for the speaker-independent mode, respectively. Comparisons with K-means and dtw algorithms show that the integration of the splitting LVQ and LVQ2 algorithms makes this system well suited to speaker-independent isolated word recognition. A cookbook approach for the determination of parameters in the Hopfield time-alignment network is also described.

关键词： Speaker-independent recognition Speech recognition Neural network Bayesian classifier dtw algorithm Hopfield model

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