1. CSI7657-01 Topics in Pattern Recognition: Gesture Recognition and Robotics Spring Semester, 2010

2. Teaching Staff 4 Lecturer –Sung-Bae Cho (C515;  2123-2720; sbcho@cs.yonsei.ac.kr) –Kyung-Joong Kim (  3408-3838, kimkj@sejong.ac.kr) 4 TA –Jun Ki Min (  2123-4803; loomlike@sclab.yonsei.ac.kr) 4 Web page: http://sclab.yonsei.ac.kr/Courses/10TPR 4 Hours : Tue 5, Thu 2, 3 4 Place : A646 4 Office Hours : Tue 9, 10

3. Course Goals 4 Study basics to recognize gestures with accelerometers 4 Understand interdisciplinary nature of robotics 4 Review state-of-the-art papers in those fields 4 Try to formulate and solve challenging problems

4. Gesture http://image.asiatoday.co.kr

5. Gesture: Applications

6. Robot

7. Course Materials 4 Reading in Pattern Recognition –Gesture Recognition Pattern Recognition Pattern Recognition Letters Pervasive and Mobile Computing –Robotics Nature, Science, PNAS, Current Biology, PLOS Biology, Nature Physics

8. Evaluation Criteria 4 Evaluation Criteria –Term Project (written report and an oral presentation): 50% –Written Exam: 30% –Class Presentation : 20% 4 Term Project (Oral presentation is required) : –Theoretical Issue (Analysis, Experiment, Simulation) : Originality –Interesting Programming (Game, Demo, etc) : Performance –Survey : Completeness

9. WeekGesture Recognition (Thu)Robotics (Tue) 1Course Introduction 2Accelerometer Data CollectionOverview on Robotics I 3PreprocessingOverview on Robotics II 4Feature ExtractionSelf Replication I 5 Gesture Recognition based on Accelerometer Self Replication II 6 Behavior Recognition based on Accelerometer Self Modeling 7Term Project Proposal 8Midterm Exam 9 Dynamic Time Warping and Neural Network Self Organization I 10Hidden Markov ModelsSelf Organization II 11Support Vector MachineCommunication I 12Real-Time Gesture RecognitionCommunication II 13 Behavior Recognition with Multiple Wearable Sensors Robotic Scientist 14ApplicationsReverse Engineering 15Term Project Final Presentation 16Final Exam

10. Possible Project Lists 4 Gesture clustering, classification, understanding (high-level) 4 Understanding sequential gestures 4 Gesture-based interface for games, phone, and robot 4 Mixed-initiative gesture recognition 4 Augmented reality with gesture recognition 4 Evolving robot’s morphology, behavior, and controller 4 Game playing with vision-based robots 4 Automatic behavior transfer among different robots (ghost controller) 4 Fault-tolerant robots 4 Mining scientific data using Eureqa