Wearable Computing: Possibilities and People

Transcription

1 Wearable Computing: Possibilities and People Tom Martin Virginia Tech Electronic Textiles Laboratory & the Institute for Creativity, Arts, and Technology May 2018

2 Courtesy of Dan Ledger 2

3 Wearable technology market IDTechEx: $30B in 2016, growing to $150B in 2026 Gartner 2017 forecast: $30B in 2017, $50B in 2021 IDC forecast: 220 million units in 2021 at average price of $185 ($40B) 3

4 How did we get here? A short history of electronic computing: IBM 7090 IBM PC Cell phone Glass Eniac DEC VT100 terminal Laptop PDA Smartwatch One computer, many users Take information to computer One computer, one user Many computers, one user Take computer to information 4

5 How did we get here? Carnegie Mellon University s wearables from the early 90s

6 Five Generations of Wearable Computers Navigator 2 used for aircraft maintenance VuMan 1 VuMan 2 Navigator 1 Left, a look through the head mounted display. The user not only sees the aircraft maintenance interface, but also their work environment. VuMan 3 Navigator Daniel P. Siewiorek

7 25 years later Three companies: BodyMedia: acquired by Jawbone in 2013 for over $100M Morewood Design Labs: designed the electronics for first five wearables from FitBit Inmedius: acquired by Boeing in

8 25 years later Boeing wiring harness app (early 90 s) Boeing Google Glass Enterprise and Skylight 2018 Upskill 8

9 Lessons from the first 25 years

10 Ideal wearable computer Infinite battery life Small and lightweight Access to information anywhere anytime Socially acceptable Distraction-free Tailored to an individual 10

11 Research challenges Manufacturing: Bridging gaps between tech and apparel/fashion industries Designing for mass customization Consumer: Fitting into a person s daily routine, molding to a person s needs Providing meaning rather than just measurement Enabling access to information without distracting 11

12 Context-awareness Sensing context: Where am I? What people or resources are nearby? What am I doing? How do I feel? Remembering context: What do I usually do when? Responding to context Predicting future contexts

13 Possibilities

14 Extrapolating Now for some examples, mainly clothing Keep your mind open, think forward from them Medtronic 14

15 Physiological monitoring Georgia Tech Smart Wearable Motherboard: Wound detection for soldiers (1999) NuMetrex sports bra: Woven heart rate sensors (2005) 15

16 Posture/position detection Upper body posture detection shirt, ETH Zurich (2007) Moven motion capture suit, Xsens (2007) 16

17 Fashion Despina Papadopoulos, musical Masai dress and ClickSneaks (2005) 17

18 Consumer apparel Philips Research sensor jacket (1999) Google Project Jacquard Levi s jacket (2017)

19 Crafts and DIY Leah Buechley, Electric Tank Top (2006) Lilypad Arduino (2007) ~ctg/previous_projects.html lilypad-arduino-main-board 19

20 Wearables for service animals Facilitating Interactions for Dogs with Occupations (FIDO) project, Georgia Tech (2013) Presentation at International Symposium on Wearable Computers

21 Manufacturing Automobile manufacturing training system, ETH Zurich (2008) T. Stiefmeier, et al, Wearable Activity Tracking in Car Manufacturing, IEEE Pervasive Computing, April-June

22 Personal protective equipment Carbon monoxide poisoning monitor, Virginia Tech (2013) Collision alerts for roadside workers, Virginia Tech (2015) engineering-constructionhelmetsensor.html beacon/safetyvests.html 22

23 Fitting into clothing: E-textiles Electronic textiles (e-textiles): Fabric where network and electronics are intrinsic to the cloth Goal: Wearable computers that look like everyday clothing, smart fabrics for pervasive computing environment Advantages: Flexible No dangling wires to snag Large surface area for sensing Invisible to others Cheap manufacturing 23

24 Virginia Tech E-Textiles Lab Design e-textiles that work across a wide range of user population and environments Devise a computing architecture that permits reliable execution of diverse applications in a dynamic environment: fabric as a platform Develop tools for application domain experts 24

25 E-textile pants E-textile pants: Fabric, e-tags, finished pants Garment as a platform Applications: Activity classification, gait analysis, health monitoring 25

26 Medical monitoring journal Automatic activity/environment journal for medical monitoring 26

27 Activity classification for ambulatory medical monitoring Recently collaborated with U. of Minnesota on NSF project for garments that classify activities for ambulatory medical monitoring Fine-grained activity classifier works for everyday activities (e.g., brushing teeth, brushing hair) User-independent, sensor-independent 27

28 People

29 Farm to wearable? 29

30 Funding along the way 1985 (high school) Ball State University Analog and Digital Electronics camp Funded by NSF at various times (grad school) Carnegie Mellon University NSF Graduate Research Fellowship, DARPA micro-displays program 30

31 Growing the next generation of innovators National Science Foundation: CAREER, Information Technology Research, Computing Research Infrastructure, Smart and Connected Health, Research Experience for Undergraduates 31

32 Growing the next generation of innovators National Science Foundation: Engineering Education and Centers 32

33 Growing the next generation of innovators Virginia Space Grant Consortium, Wearable Technology Symposium at NASA Johnson Space Center 33

34 Parting thoughts Bridging the gap between industries Designing for individuals Wearable tech as service enabler Not just about technology: It s about educating people and providing them with opportunities to explore 34

35 Acknowledgements Funding: National Science Foundation, NASA, Virginia Space Grant Consortium, Intel Thanks to Dan Sieworek, Dan Ledger, Leah Buechley, Stacey Burr, and Tricia Wilson Nguyen for their input 35