CS 491
Human Augmentics



Technologies for Expanding the Capabilities and Characteristics of Humans

"Every disruption begins with an n of 1."
- Larry Smarr
Spring 2013
Updated: 01/02/2013

Time

    Thursdays 9:30am - 12:00pm

Place

    2068 Engineering Research Facility Building (842 W Taylor St)

Office Hours

    Office Hours: Thurs 1pm - 3pm in 2032 Engineering Research Facility Building (842 W Taylor St)

Instructor

   Jason Leigh, Robert Kenyon

Teaching Assistant

    Steven Conner
    Office Hours: TBD in 2068 Engineering Research Facility Building (842 W Taylor St)

Course Description

Film, television and video games such as The Six Million Dollar Man, Blade Runner, Ghost in the Shell, and as Deus Ex painted a future where technology will ultimately fuse with humans. But that future is not as far away as we think!

Exponential advances in technology miniaturization have laid the groundwork for transforming high-tech gadgets into technology that will allow humans to perform beyond their natural sensory, cognitive and motor abilities – in other words, they have the potential to enable humans to see and hear better, absorb and interpret more information, and increase physical endurance.

One can think of Human Augmentics (HA) as the driving force in the non-biological evolution of humans.  Eyeglasses, hearing aids, and pacemakers can be considered HA’s early progenitors.  Today there is a patchwork of technologies, including Smartphones, robotic limbs, Bluetooth earpieces, and personal biometrics sensors, each filling a small augmentation niche. What was previously considered science fiction, such as contact lens displays, brain-computer interfaces and personal exoskeletons, will become ubiquitous, and we will see the emergence of large populations of humans equipped with such augmentations.

In this course, students will be introduced to this burgeoning field by: (1) designing, building and demonstrating human augmentics technologies; (2) learning about the fundamentals of human limitations (sensory, cognitive and physical) as a foundation for the science of Human Augmentics; (3) surveying research in the area by reviewing relevant conference proceedings.

Anticipated Students

Students will consist of a mix of Undergrad, MS and PhD level students from Engineering, Art, Humanities, and Health including, but not limited to: Computer Science, Electrical and Computer Engineering, BioEngineering, Mechanical Engineering, Psychology, Communication, Health Science, Rehabilitation Science, and Art and Design.

For Undergrad CS students: CS 342/340 or CS 261/366.

Topics List

1.     Limits of Human Sensory, Cognitive and Physical Systems

·       Characteristics of the Human Visual System

·       Perception-Action paradigm in Humans

                                      i.     Motor control limitations

                                     ii.     Perceptual illusions

·       Cognitive Characteristics

                                      i.     Workload effects on cognition

                                     ii.     Data overload effects on behavior

·       Understanding Physiological Systems

                                      i.     Muscle, major organs

                                     ii.     Life sustaining processes

2.     Principles of Wearable Computing Technologies

·       Human Augmentics Ecosystem to connect devices & the Cloud

                                      i.     Augmentics devices: Displays, robots, sensors

                                     ii.     Cognitive Amplifiers

·       Compensatory devices [Healthy & Disabled populations]

                                      i.     Prosthesis, Brain Machine Interfaces

3.     Principles of Persuasive Technologies

·       Designing for proper, timely and directed feedback to user.

·       Designing for trust building between user and persuasive device.

4.     Principles of Artificial Implants, Brain Computer Interfaces, Human Exoskeletons

·       Blood brain barrier, long-term problem with electrode implants

·       Coordination among sensors to mimic physiological systems

5.     Rapid Device Prototyping with Arduino

·       Using VR systems for prototyping

·       Using Arduino for prototyping

·       Using Rapid Prototyping machines

6.     Sensors & Networks / Cyber-Physical Systems

·       Biometrics Sensors

·       Environmental Sensors

·       Body Area Networks

7.     Ethical Ramifications of Human Augmentation

Class Discussion Site

Please go to this website and register as soon as possible. All notices will be distributed here rather than via email.

Wifi Access

Readings & Resources

Course Schedule

  • Week 1 (Jan 17)
    • Intro to the class
    • LECTURE: Intro to Human Augmentics - Jason Leigh
  • Week 2 (Jan 24)
    • LECTURE: Wearable Computing - Jason Leigh
    • Assignment 0 DUE: Post project ideas and sketches on Lore for review in class.
    • Class discussion of project ideas.
  • Week 3 (Jan 31)
    • LECTURE: Introduction to Arduino & Rapid Prototyping - Daniel Sauter
    • Formation of project teams
  • Week 4 (Feb 7)
    • Assignment 1 DUE: Informal presentation of project ideas by each team
  • Week 5 (Feb 14)
  • Week 6 (Feb 21)
    • Assignment 2 DUE: Formal presentation of project ideas
  • Week 7 (Feb 28)
    • Assignment 2 CONT: Complete Assignment 2 presentations.
    • LECTURE: Social Ramifications and Ethics of Human Augmentation - Steve Jones & Eulalia Puig Abril
  • Week 8 (Mar 7)
    • LECTURE: Body Area Networks - Bob Kenyon
    • Assignment 3 DUE: Student paper presentation proposals (based on Readings list above)
  • Week 9 (Mar 14)
  • Week 10 (Mar 21)
    • LECTURE: State of the Art in Prosthetics - Todd Kuiken (TBD)
    • Project Progress Review
  • Week 11 (Mar 28) - Spring Break
  • Week 12 (Apr 4)
    • Assignment 4 DUE: Individual student paper presentations begin (15 minutes per student)
  • Week 13 (Apr 11)
    • Assignment 4 DUE: Individual student paper presentations continue
  • Week 14 (Apr 18)
    • Assignment 4 DUE: Individual student paper presentations continue
  • Week 15 (Apr 25)
    • Project Progress Review
  • Week 16 (May 2)
    • Assignment 5 DUE: FINAL PROJECT PRESENTATIONS (6 Teams, 30 minutes per team)
  • Week 17  (Exam Week) - May 8
    • Assignment 6 DUE: Final project paper