人本計算實驗
Human Centric Computing Lab (HCC Lab)
| 節 | 週四 |
|---|---|
N 12:20–13:10 | 人本計算實驗 EE632（光復） 3 節連堂 |
5 13:20–14:10 | |
6 14:20–15:10 |
* 根據陽明交大上課時間表所列
Human-Centric Computing (HCC) is the science of decoding human behaviors. HCC seeks to provide a computational account of aspects of human behavior ranging from interaction patterns to individual emotion expression using techniques drawn from both signal processing and machine learning. However, the complexity of this new domain necessitates alterations to common data collection, modeling techniques and computing capability (including cloud computing). In this laboratory, we will cover the techniques that underlie the state-of-the-art systems in the human-centric computing field. Students will develop a critical understanding of HCC systems ranging from data collection to human state recognition to feedback. The course evaluation will include weekly homework and a final creative team project. The project topics include: Assistive Devices for People who are Blind and Visually Impaired State Estimation for AR/VR Devices/Applications and Self-Drving Cars Deep Learning Sensing and Communication on Mobile Devices
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無備註
References: [1] MIT News “Continuing the legacy: Assistive technologies at MIT” http://news.mit.edu/2014/continuing-seth-teller-legacy-assistive-technologies-mit-0910 [2] http://in.sight.srl/arianna/ [3] Sohl-Dickstein J, Teng S, Gaub B, Rodgers C, Li C, DeWeese M, Harper N. A device for human ultrasonic echolocation. IEEE Trans Biomed Eng 2015, 62:1526–1534 http://people.csail.mit.edu/santani/PDFs/Sohl-Dickstein_Teng_etal_2015_TBME [4] New York Times “A Blind Runner and His Very Good Boy” https://www.nytimes.com/2017/10/24/nyregion/a-blind-runner-and-his-guide-dog.html [5] http://projects.csail.mit.edu/bocelli/education-outreach.html [6] https://vimeo.com/album/3693275/video/148321134 [7] https://vimeo.com/album/4285286/video/195616573
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| 週次 | 主題 |
|---|---|
| 第 1 週 | 課程說明與互動活動 Syllabus, Experience Sharing & Introduction to HCC |
| 第 2 週 | Overview of Machine Learning |
| 第 3 週 | Lab: Machine Learning with Scikit-Learn |
| 第 4 週 | Lab: Machine Learning with TensorFlow |
| 第 5 週 | Lab: Machine Learning with TensorFlow |
| 第 6 週 | Checkpoint |
| 第 7 週 | Introduction to Robotic System and Competitions Lab: ROS Publisher and Subscriber |
| 第 8 週 | Object Detection, Resource Constrained Robot Lab: SSD/Mobile-SSD, YOLO/Tiny-YOLO, & Eval |
| 第 9 週 | Semantic Segmentation, PST900 Lab: FCN/UNet for Artifact Search |
| 第 10 週 | Transformation, Calibration, and AprilTags Lab: ICP 2D, SubT Starting Gate |
| 第 11 週 | Localization with Factor Graph Lab: iSAM/GTSAM |
| 第 12 週 | Overview of Self-Driving Vehicle Science & Systems |
| 第 13 週 | Lab: Probabilistic State Estimation, Localization |
| 第 14 週 | Lab: Tracking |
| 第 15 週 | Overview of Context-Aware Service Technology & Multi-Device Collaboration Technology |
| 第 16 週 | Lab: Android & Sensors |
| 第 17 週 | Final Project Presentation |
| 第 18 週 | Final Presentation |
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