패턴인식 특강 (CSI0952-01)
Application of Pattern Recognition Systems:
Life Log Management


◈ 공지사항


◈ 수업정보


◈ 강좌 목표

 


◈ 수업 교재

 


◈ 평가 기준

 


◈ Course Schedule

 


◈ 수업 자료
 

주제

 발표 논문 (발표자용은 별도 표시)

수업 자료

2주:
센서
데이터
수집

관리

  1. S.-W. Lee & K. Mase, "Activity and location recognition using wearable sensors," Pervasive Computing, pp. 24-32, 2002.
  2. F. Wilhelm et al., "Continuous electronic data capture of physiology, behavior and experience in real life: towards ecological momentary assessment of emotion," Interactive with Computers, vol. 18, pp. 171-186, 2006.
  3. M. Ermes et al., "Detecting of daily activities and sports with wearable sensors in controlled and uncontrolled conditions," IEEE Trans. Information Technology in Biomedicine, 2006.
  4. A. Schmidt et al., "How to build smart appliances?" IEEE Personal Communications, pp. 66-71, 2001.
  5. M. Blum et al., "Insense: Interest-based life logging," IEEE Multimedia, pp. 40-48, 2006.
  6. W. Wu et al., "Incremental diagnosis method for intelligent wearable sensor systems," " IEEE Trans. Information Technology in Biomedicine, 2006.

Papers

발표자료1

발표자료2

발표자료3

3주:
로그
데이터
전처리

  1. J. Karvanen, "The statistical basis of laboratory data normalization," Drug Information Journal, Vol. 37, pp. 101-107, 2003.
  2. V. Laerhoven and O. Cakmakci, "What shall we teach our pants?," Proc. 4th Int. Symp. Wearable Computers, Atlanta, GA, pp. 77-86, 2000.
  3. V. d. Broeck J, Argeseanu Cunningham S, Eeckels R, Herbst K, "Data cleaning: Detecting, diagnosing, and editing data abnormalities," Public Library of Science Med., vol. 2, no. 10, 2005.
  4. J. Kubica and A. Moore, "Probabilistic noise identification and data cleaning," The Third IEEE Int. Conf. on Data Mining, IEEE Computer Society, November, 2003, pp. 131-138.
  5. A.R. Golding, N. Lesh, "Indoor navigation using a diverse set of cheap, wearable sensors," The Third Int. Symposium on Wearable Computers, pp.29-36, 1999.
  6. J. Fogarty, S.E. Hudson, C.G. Atkeson, D. Avrahami, J. Forlizzi, S. Kiesler, J.C. Lee, J. Yang, "Predicting human interruptibility with sensors," ACM Trans Comput-Hum Interact,  vol. 12, no. 1, pp. 119-146, 2005. 

Papers

발표자료1

발표자료2

발표자료3

4주:
특징
추출

가속도
센서
처리

  1. M. Ko et al., "Using dynamic time warping for online temporal fusion in multisensory systems," Information Fusion, 2007.
  2. X. Wu, "Fuzzy interpretation of discretized intervals," IEEE Trans. Fuzzy Systems, vol. 7,  no. 6,  pp. 753-759, 1999.
  3. T. Pawar et al., "Body movement activity recognition for ambulatory cardiac monitoring," IEEE Trans. Biomedical Engineering, vol. 54, no. 5, pp. 874-882, 2007.
  4. J. Nigro and M. Rombaut, "IDRES: A rule-based system for driving situation recognition with uncertainty management," Information Fusion, vol. 4, pp. 309-317, 2003.
  5. R. Mandryk and M. Atkins, "A fuzzy physiological approach for continuously modeling emotion during interaction with play technologies," Int. J. Human-Computer Studies, vol. 65, pp. 329-347, 2007.
  6. M. Trivedi et al., "Dynamic context capture and distributed video arrays for intelligent spaces," IEEE Trans. SMC-Part A. vol. 35, no. 1, pp. 145-163, 2005. 

Papers

발표자료1

발표자료2

5주:
정적
분류

추론

  1. O. Gualdr?n, J. Brezmes, E. Llobet, A. Amari, X. Vilanova, B. Bouchikhi and X. Correig, "Variable selection for support vector machine based multisensor systems," Sensors and Actuators B: Chemical, vol. 122, no. 1, pp. 259-268, 2007.
  2. G.-E. Yap, A.-H. Tan, H.-H. Pang, "Discovering and exploiting causal dependencies for robust mobile context-aware recommenders," IEEE Trans. on Knowledge and Data Engineering, vol. 17,  no. 7,  pp. 977-992, 2007.
  3. A. Krause, et al., "Trading off prediction accuracy and power consumption for context-aware wearable computing," Proc. of the 2005 Ninth IEEE Int. Symposium on Wearable Computers (ISWC'05), pp. 20-26, Oct. 2005.
  4. T. Huynh, B. Schiele, "Towards less supervision in activity recognition from wearable sensors," 10th IEEE Int. Symposium on Wearable Computers, pp. 3-10, Oct. 2006.
  5. S. E. Hudson, J. Fogarty, C. G. Atkeson, D. Avrahami, J. Forlizzi, S. Kiesler, J. C. Lee, J. Yang "Predicting human interruptibility with sensors: a wizard of oz feasibility study," Proc. of the ACM Conf. on Human Factors in Computing Systems (CHI 2003), pp. 257-264, 2003.
  6. J. Favela, M, Tentori, L. A. Castro, V. M. Gonzalez, E. B. Moran, A. I. Martinez-Garcia, "Activity recognition for context-aware hospital applications: issues and opportunities for the deployment of pervasive networks," Mobile Networks and Applications, vol. 12, no. 2/3, pp. 155-171, 2007. 7. 

Papers

발표자료1

6주:
동적
확률
모델링:
DBN

  1. A. Mittal and K. Pagalthivarthi, "Temporal Bayesian network based contextual framework for structured information mining," Pattern Recognition Letters, vol. 28, pp. 1873-1884, 2007.
  2. Y. Luo, T. Wu and J. Hwang, "Object-based analysis and interpretation of human motion in sports video sequences by dynamic Byesian networks," Computer Vision and Image Understanding, vol. 92, no. 2-3, pp. 196-216, 2003.
  3. C. Huang, H. Shih and C. Chao, "Semantic analysis of soccer video using dynamic Bayesian network," IEEE Trans. Multimedia, vol. 8, no. 4, pp. 749-760, 2006.
  4. Y. Du et al., "Recognizing interaction activities using dynamic Bayesian network," Proc. 18th Int. Conf. Pattern Recognition, (4 pages) 2006.
  5. B. Laxton et al., "Leveraging temporal, contextual and ordering constraints for recognizing complex activities in video," IEEE, (8 pages) 2007.
  6. S. Bhanja et al., "Estimation of switching activity in sequential circuits using dynamic Bayesian networks," Proc. 18th Int. Conf. VLSI Design, (6 pages) 2005.
  7. J. Muncaster and Y. Ma, "Activity recognition using dynamic Bayesian networks with automatic state selection," IEEE Workshop on Motion and Video Computing, (8 pages) 2007. 

Papers

발표자료1

7주:
동적
확률
모델링:
HMM

  1. Andrew Moore, "Hidden Markov models," online document: http://www.autonlab.org/tutorials/hmm.html
  2. L. R. Rabiner, "A tutorial on hidden Markov models and selected applications in speech recognition," Proc. of the IEEE, 77 (2), p. 257?286, February 1989.
  3. E. Birney, "Hidden Markov models in biological sequence analysis," Applications in bioinformatics, 2007.
  4. A. A. Nefian, L. Liang, X. Pi, X. Liu, C. Mao, and K. Murphy, "A coupled HMM for audio-visual speech recognition," in Proc. ICASSP'02, vol. II, 2002, pp. 2013.2016.
  5. N. Oliver, E. Horvitz, A. Garg, "Layered Representations for Human Activity Recognition," Fourth IEEE Int. Conf. on Multimodal Interfaces, pp. 3-8, 2002.
  6. H. Zhou, D. Kimber, "Unusual event detection via multi-camera video mining," Proc. of the 18th Int. Conf. on Pattern Recognition, Vol. 03, pp. 1161-1166, 2006. 

Papers

발표자료1

10주:
응용 1:
감정

상태
인식

  1. S. Bou-Ghazale et al., "A comparative study of traditional and newly proposed features for recognition of speech under stress," IEEE Trans. Speech and Audio Processing, vol. 8, no. 4, pp. 429-442, 2000.
  2. S. Ioannou et al., "Emotion recognition through facial expression analysis based on a neurofuzzy network," Neural Networks, vol. 18, pp. 423-435, 2005.
  3. R. Picard et al., "Toward machine emotional intelligence: Analysis of affective physiological state," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 23, no. 10, pp. 1175-1191, 2005.
  4. M. Pantic and L. Rothkrantz, "Toward an affect-sensitive multimodal human-computer interaction," Proc. of the IEEE, vol. 91, no. 9, pp. 1370-1390, 2003.
  5. F. Nasoz and C. Lisetti, "MAUI avatars: Mirroring the user's sensed emotions via expressive multi-ethnic facial avatars," J. Visual Languages & Computing, vol. 17, pp. 430-444, 2006.
  6. J. Healey and R. Picard, "Detecting stress during real=world driving tasks using physiological sensors," IEEE Trans. Intelligent Transportation Systems, vol. 6, no. 2, pp. 156-166, 2005. 

Papers

11주:
응용 2:
동작

행동
인식

  1. S.-W. Lee and K. Mase, "Activity and location recognition using wearable sensors," IEEE Pervasive Computing, vol. 1, no. 3, pp. 24-32, Sep. 2002.
  2. M. Ahmad and S.-W. Lee, "HMM-based human action recognition using multiview image sequences," Proc. of the Int. conf. on Pattern Recognition , 2006.
  3. L. Bao, S. S. Intille, "Activity recognition from user-annotated acceleration data," Lecture Notes In Computer Science, vol 3001, pp. 1-17, 2004.
  4. N. Kern, B. Schiele, "Multi-sensor activity context detection for wearable computing," EUSAI: European Symposium on Ambient Intelligence, Lecture Nnotes on Computer Science, vol. 2875, pp. 220-232. Netherlands, Nov. 2003.
  5. J. Farringdon, A. Moore, N. Tilbury, J. Church, P. Biemond, "Wearable sensor badge & sensor jacket for context awareness," Proc. Third Int. Symposium on Wearable Computers (ISWC), San Francisco (1999) 107-113.
  6. N. Kern, B. Schiele, H. Junker, P. Lukowicz, G. Troester, "Wearable sensing to annotate meetings recordings," Proc. Sixth Int. Symposium on Wearable Computers (ISWC),  pp. 186-193, (2002) 

Papers

13주:
응용 3:
로그
가시화

LBS
추천

  1. S. Ross, "Models of human memory," Microsoft Research News & Highlights, http://research. microsoft.com/displayArticle.aspx?id=687.
  2. N. Eagle, "Machine perception and learning of complex social systems," Ph.D. Thesis, Massachusetts Institute of Technology, pp. 1-136, 2005.
  3. M. Addlesee, R. Curwen, S. Hodges, J. Newman, P. Steggles, A. Ward, and A. Hopper, "Implementing a sentient computing system," IEEE Computer, vol. 34, no. 8, pp. 50-56, Aug. 2001.
  4. D. Tancharoen, K. Aizawa, "Novel concept for video retrieval in life log application," PCM (2) 2004: 915-923
  5. K. Aizawa, K. Ishijima, "Summarizing wearable video," Proc. Intl. Conf. of ICIP 2001, Vol.3, pp. 398-401, Oct. 2001.
  6. R. Hariharan, J. Krumm, and E. Horvitz, "Web-Enhanced GPS," Int. Workshop on Location- and Context-Awareness (LoCA 2005), May 2005.

Papers

14주:
응용 4:
로그
요약

검색

  1. S. Sweeny et al., "'Show me more': Incremental length summarization using novelty detection," Information Processing & Management, 2007.
  2. E. Wilding and H, Sharpe, "Episodic memory encoding and retrieval: Recent insights from event-related potentials," The Cognitive Electrophysiology of Mind and Brain, pp. 169-196, 2003 (도서 구입 필요)
  3. K. Stathis et al., "Living memory: agent-based information management for connected local communities, " Interacting with Computers, vol. 14, no. 6, pp. 663-688, 2002.
  4. D. Vallet et al., "Personalized content retrieval in context using ontological knowledge," IEEE Trans. Circuits and Systems for Video Technology, vol. 17, no. 3, pp. 336-346, 2007.
  5. A. Smeaton, "Techniques used and open challenges to the analysis, indexing and retrieval of digital video," Information Systems, vol. 32, no. 4, pp. 545-559, 2007.
  6. A. Vakali et al., "MPEG-7 based description schemes for multi-level video content classification," Image and Vision Computing, vol. 22, no. 5, pp. 367-378, 2004.
  7. A. K. Dey, D. Salber, G. D. Abowd, et al., "The Conference Assistant: Combining Context-Awareness with Wearable Computing," ISWC, vol. 21-28, 1999.

Papers