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| ???org.dspace.app.webui.jsptag.ItemTag.dcfield??? | Value | Language |
|---|---|---|
| dc.contributor.advisor | 傅立成 | |
| dc.contributor.author | Chih-Hung Lin | en |
| dc.contributor.author | 林志鴻 | zh_TW |
| dc.date.accessioned | 2021-06-15T02:44:16Z | - |
| dc.date.available | 2012-01-21 | |
| dc.date.copyright | 2010-01-21 | |
| dc.date.issued | 2009 | |
| dc.date.submitted | 2009-08-10 | |
| dc.identifier.citation | [1] S. Goldin-Meadow, 'The role of gesture in communication and thinking,' Trends in Cognitive Sciences, vol. 3, pp. 419-429, 1999.
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Calinon and A. Billard, 'Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM,' Proceedings of the 22nd international conference on Machine learning Bonn, Germany: ACM, 2005. [8] J. Kela, P. Korpipaa, J. Mantyjarvi, S. Kallio, G. Savino, L. Jozzo, and S. Marca, 'Accelerometer-based gesture control for a design environment,' Personal and Ubiquitous Computing, vol. 10, pp. 285-299, 2006. [9] L. Kratz, M. Smith, and F. J. Lee, 'Wiizards: 3D gesture recognition for game play input,' Proceedings of the 2007 conference on Future Play Toronto, Canada: ACM, 2007. [10] H. Yang, A. Park, and S. Lee, 'Gesture spotting and recognition for human-robot interaction,' IEEE transactions on Robotics, vol. 23, pp. 256-270, 2007. [11] H. Junker, O. Amft, P. Lukowicz, and G. Troster, 'Gesture spotting with body-worn inertial sensors to detect user activities,' Pattern Recognition, vol. 41, pp. 2010-2024, 2008. [12] T. Schlömer, mer, B. Poppinga, N. Henze, and S. Boll, 'Gesture recognition with a Wii controller,' Proceedings of the 2nd international conference on Tangible and embedded interaction Bonn, Germany: ACM, 2008. [13] T. Stiefmeier, D. Roggen, and G. Troster, 'Gestures are strings: Efficient online gesture spotting and classification using string matching,' International conference on Body area networks table of contents, 2007. [14] J. Davis and M. Shah, 'Recognizing hand gestures,' Lecture Notes in Computer Science, vol. 800, pp. 331-340, 1994. [15] P. Hong, M. Turk, and T. S. Huang, 'Constructing finite state machines for fast gesture recognition,' Pattern Recognition, 2000. Proceedings. 15th International Conference on, pp. 691-694 vol.3, 2000. [16] H. Kang, C. Woo Lee, and K. Jung, 'Recognition-based gesture spotting in video games,' Pattern Recognition Letters, vol. 25, pp. 1701-1714, 2004. [17] A. Corradini, 'Dynamic time warping for off-line recognition of a small gesture vocabulary,' IEEE ICCV Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems, pp. 82-89, 2001. [18] L. Hong and M. Greenspan, 'Multi-scale gesture recognition from time-varying contours,' IEEE International Conference on Computer Vision, pp. 236-243 Vol. 1, 2005. [19] E. W. Huang and L. C. Fu, 'Gesture Stroke Recognition Using Computer Vision and Linear Accelerometer,' Automatic Face and Gesture Recognition, IEEE International on, 2008. [20] C.-H. Lin, E.-W. Huang, and L.-C. Fu, 'Fast Accelerometer-Based Continuous Gesture Recognition Using Kernel-Based Matching Method,' International Conference on Human-Computer Interaction: Springer, 2009. [21] S. P. Smith and A. K. Jain, 'A test to determine the multivariate normality of a data set,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, pp. 757-761, 1988. [22] W. Day and H. Edelsbrunner, 'Efficient algorithms for agglomerative hierarchical clustering methods,' Journal of classification, vol. 1, pp. 7-24, 1984. [23] K. Grauman and T. Darrell, 'The pyramid match kernel: discriminative classification with sets of image features,' IEEE International Conference onomputer Vision pp. 1458-1465 Vol. 2, 2005. [24] H. Sakoe and S. Chiba, 'Dynamic programming algorithm optimization for spoken word recognition,' Acoustics, Speech and Signal Processing, IEEE Transactions on, vol. 26, pp. 43-49, 1978. [25] 'Wii at Nitendo,' http://wii.nintendo.com. [26] H. Sakoe and S. Chiba, 'Frequency analyzer comprising a digital band-pass and a digital low-pass filter section both operable in a time-division fashion,' 1979. [27] X. Cao and R. Balakrishnan, 'VisionWand: interaction techniques for large displays using a passive wand tracked in 3D,' ACM symposium on User interface software and technology Vancouver, Canada: ACM, 2003. [28] J. O. Wobbrock, A. D. Wilson, and Y. Li, 'Gestures without libraries, toolkits or training: a $1 recognizer for user interface prototypes,' ACM symposium on User interface software and technology Newport, Rhode Island, USA: ACM, 2007. | |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/44193 | - |
| dc.description.abstract | Human gesture is commonly used in daily communication between humans, and there are more and more studies trying to utilize gestures in human computer interaction. Because the advance of wireless and accelerometer technologies, accelerometer which is constrained by the environment compared with other sensing devices is getting more and more interested in these studies. In this thesis, we introduce an accelerometer-based gesture recognition system which is composed of gesture characteristic database and continuous gesture recognition. In the gesture characteristic database, we propose a method to construct a gesture characteristic database which can handle intra-class variations of human hand gestures. In the continuous gesture recognition part, a kernel based matching method and a dynamic time warping based method are proposed to recognize gestures in human hand motions. We here design two different gesture sets in the experiments, and the experiment results show that our system can recognize continuous hand gestures quickly and accurately. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-15T02:44:16Z (GMT). No. of bitstreams: 1 ntu-98-R95922072-1.pdf: 564406 bytes, checksum: e6e90e6e6d888191adaa73517520fae1 (MD5) Previous issue date: 2009 | en |
| dc.description.tableofcontents | 口試委員審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES viii Chapter 1 Introduction 1 1.1 Motivation 1 1.2 Problem Description 3 1.3 System Overview 5 1.4 Organization 8 1.5 Related Works 8 1.5.1 Gesture Model Construction 9 1.5.2 Gesture Spotting 10 1.5.3 Gesture Classification 11 Chapter 2 Preliminary 13 2.1 Polar Coordinate System 13 2.2 Multivariate Gaussian Distribution 15 2.3 Agglomerative Hierarchical Clustering 16 2.4 Pyramid Matching Kernel 18 2.5 Dynamic Time Warping 21 Chapter 3 Gesture Characteristic Database 25 3.1 Overview 25 3.2 Feature Extraction 26 3.2.1 Signal Preprocessing 26 3.2.2 Acceleration Trajectory in Cartesian Coordinate System 28 3.2.3 Acceleration Trajectory in Polar Coordinate System 29 3.3 Gesture Characteristic Modeling 30 Chapter 4 Continuous Gesture Recognition 35 4.1 Overview 35 4.2 Gesture Spotting 36 4.2.1 Motion Detection 36 4.2.2 Candidate Searching 38 4.3 Gesture Classification 43 4.4 Continuous Gesture Recognition Algorithm 47 Chapter 5 Experiment 49 5.1 Environment Description 49 5.2 Gesture Sample Collection 50 5.3 Gesture Characteristic Training 51 5.4 Experiment Result 52 5.4.1 Performance of isolated gesture Recognition 53 5.4.2 Performance of continuous gesture Recognition 55 Chapter 6 Conclusion 57 REFERENCE 59 | |
| dc.language.iso | en | |
| dc.subject | 手勢辨識 | zh_TW |
| dc.subject | 人機互動 | zh_TW |
| dc.subject | 加速度感測器 | zh_TW |
| dc.subject | HCI | en |
| dc.subject | Accelerometer | en |
| dc.subject | Gesture Recognition | en |
| dc.title | 應用在人機互動中基於加速度感測器之連續手勢辨識 | zh_TW |
| dc.title | Accelerometer-Based Continuous Gesture Recognition For Human Computer Interaction | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 97-2 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 歐陽明,洪一平,蘇木春,李蔡彥 | |
| dc.subject.keyword | 人機互動,加速度感測器,手勢辨識, | zh_TW |
| dc.subject.keyword | HCI,Accelerometer,Gesture Recognition, | en |
| dc.relation.page | 61 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2009-08-10 | |
| dc.contributor.author-college | 電機資訊學院 | zh_TW |
| dc.contributor.author-dept | 資訊工程學研究所 | zh_TW |
| Appears in Collections: | 資訊工程學系 | |
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| File | Size | Format | |
|---|---|---|---|
| ntu-98-1.pdf Restricted Access | 551.18 kB | Adobe PDF |
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