Seminar: Ubiquitous Computing – the origin and the advances
Name des Seminarbetreuers / Supervisor
  • Jun.-Prof. Jingyuan Cheng
Teilnehmerzahl/maximum participants number
  • 15
Zielgruppen / who can participate
  • Informatik, IST, Wirtschaftsinformatik, Master only
Oberthema des Seminars/ Major topic:
  • Ubiquitous Computing – the origin and the advances
Einzelne Seminarthemen plus Erläuterungen / the sub topics
  • Health care
  • Emotion
  • Security
  • Privacy
  • Factory
  • Mobility
  • Price and Market
  • Social Impact
  • Human-Computer/Maschine/Animal Interaction
  • Hardware Design Factors
  • Software Design Factors
  • You can also propose a topic you like, it should however, be rather general.

ggf. Literatur, Abbildungen / Literature
Dear participants, this semester (SoSe 17/18) will be the first time for this seminar to be ran at TU Braunschweig. I want to support you to find out whether Ubiquitous Computing is something that you can imagine to work on (as scientist, in a big company or to create your own) later.

I entered the field of ubiquitous computing around 2007, both as a research and a consumer. It however took me almost 10 years, till I started to think deeply into Mark Weiser’s work, who predicted the success of smart phones already in the 90th.

Weiser, Mark. "The computer for the 21st century." Scientific American 265.3 (1991): 94-104.

You might also ask yourself later (or are already asking now): what I want to do with my future life? What direction I want to go? And Ubiquitous Computing might be one direction you are considering now. I hope, through this seminar you can see yourself better, and also see the others and the world better, to support you on your future decision.

For this reason, starting from a small push from me, you shall learn mainly through your own hard work. You shall learn how to find, summarize proper literature, and how to present your summarized results to others, with a special case “Ubiquitous Computing and [your sub-topic]”. I’ll support you through the whole process, but the work needs to be done mainly by yourself.


Termin fur die Seminarvorbesprechung("Kick Off") / important dates
  • Kick-off: 06 April 2018, 14:00-16:00, Raum G07, ITZ
  • Presentation: 01 June 2018, 14:00-18:00, Raum G07, ITZ
  • Excursion week: Sunday, 20 May 2018 to Sunday, 27 May 2018

Umfang der schriftlichen Ausarbeitung und des Vortrags / documentation and presentation
  • Documentation: 8-10 pages, in the format of a review paper, shall be sent to me latest by May 28th, 2018.
  • How to write a review paper: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3715443/
  • Presentation + Discussion: 30 minutes (20 minutes talk + 10 minutes Q & A)
Embedded Intelligence (Evaluated 1.4 in SoSe17, will NOT be offered in SoSe18)
After finishing this lecture the participants will have the basic understanding on artificial intelligence, realized in the format of compact wearable or ambient embedded systems, that automatically recognize and smartly response to the context of a single person or a crowd without interrupting their lives. This lecture focuses on the basic technologies of Embedded Intelligence, e.g., to acquire information from human beings and the environment, to build models of them and applications on top.
  • Questions, problems to be solved and examples
  • The attributes and application areas of different sensors
  • Different signal processing and machine learning methods for different activity recognition tasks
  • Key points to be considered in building the architecture for activity recognition
  • Dynamic sensor configuration
  • Performance evaluation
Lecture slides
  1. Introduction
  2. Location
  3. Activity
  4. Activity with objects
  5. User State
  6. Power
  7. Summary
  8. Summary-2
Sensors (Evaluated 1.4 in WiSe16/17)
After finishing this lecture the participants will have the basic understanding on sensor systems (Low level signal processing and digitization). This lecture gives an overview of sensors with a physics and electrical engineering perscpective. Computer Science and IST students can improve their understanding of hardware systems. Which can provide a better overall performance of the embedded systems.
  • Physical models of the sensors
  • Electronic models of the sensors
  • Digitization (ADC, DAC)
  • Analog signal processing
  • Low-level digital signal processing
  • Noise and filter
  • Different sensors and their applications
Lecture slides
  1. Sensor and its characteristics
  2. Physical principles of sensing-1
  3. Physical principles of sensing-2
  4. Interface electronic circuits-1
  5. Interface electronic circuits-2
  6. Sensor Technics-1
  7. Sensor Technics-2
  8. Sensor Technics-3
  9. The Lab for Sensors
Ubiquitous Computing Lab (Praktikum)
After completion of the lecture, the students will have opportunity create an entire application chain of one or more current Ubiquitous sensor systems figure out the necessary design factors. Basic methods and algorithms of activity detection will be applied in practise.
  • Embedded platform
  • Data Mining for activity detection
  • FPGA and / or microcontroller programming
  • Wired and / or wireless data transmission
Instructor
Prof. Jingyuan Cheng
Teaching Assitant (WiSe17/18)
Yujiang He, Zhixing Huang
Slides
  1. Introduction
  2. Force sensor matrix system
  3. Python Framework for resistive textile sensing
Teaching Assitant (WiSe16/17)
Ankur Mawandia, Heber Cruz
Slides
  1. Force sensor matrix system
  2. Unified Matlab Framework for resistive textile sensing -1
  3. Unified Matlab Framework for resistive textile sensing -2
Presentation from participants
  1. Pressure password : robust personal identifcation using hand pressure
  2. Smart pillow cover : sleeping posture identification
  3. Spy on me : workspace behaviour identification with arm positions
  4. Smart stuffed toy :Identifying child interactions with a toy