Diego
SD MMF Wearables
June 16, 2014
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“What are you wearing?” презентация
Содержание
- 1. “What are you wearing?”
- 2. Welcome People Prototypes Privacy
- 7. People Differing interests One size doesn’t fit all Human
- 9. Prototyping Remember the people while developing the prototype
- 10. People centered design Touch Gentle Soft Sound Music Familiar voices Vision falling disorienting
- 11. Select your hardware for proof of concept
- 12. Sensors for movement and activity MEMS Accelerometers
- 13. Sensor Fusion Makes prototyping easier by bundling
- 14. Choose software for ease of development
- 15. Choice: Firmware or Operating System Do
- 16. Consider cases for use over a distance
- 17. After proof of concept, iterate as needed
- 18. Privacy Consideration Provide options
- 19. Be mindful when developing Camera – visual
- 20. What are you wearing? Questions Ideas for brainstorming Thank you
Welcome
People Prototypes Privacy Please let me introduce some people from my past
Слайд 11Select your hardware
for proof of concept first
Sensors
Brain
Communications
Prototyping time has rapidly
accelerated.
It’s not unusual for a prototype to be created in several weeks.
Longer to mass production.
It’s not unusual for a prototype to be created in several weeks.
Longer to mass production.
Слайд 12Sensors for movement and activity
MEMS Accelerometers – position in1, 2, or
3 directions
Analog Devices ADXL362
Gyro – rotation
Invensense ITG-3xxxx
Magnetometer
Honeywell HMC5833L (3-axis digital compass IC)
Pressure and Altitude – Measure small movements
Freescale MPL31152
Analog Devices ADXL362
Gyro – rotation
Invensense ITG-3xxxx
Magnetometer
Honeywell HMC5833L (3-axis digital compass IC)
Pressure and Altitude – Measure small movements
Freescale MPL31152
Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
Слайд 13Sensor Fusion
Makes prototyping easier by bundling sensors in one IC or
board
Monitor movement as the individual sensors
Example: Invensense MPU-9150, Sparkfun $35
Hillcrest Labs Freespace FSM-9 (state of the art)
Monitor movement as the individual sensors
Example: Invensense MPU-9150, Sparkfun $35
Hillcrest Labs Freespace FSM-9 (state of the art)
Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
Слайд 14Choose software for
ease of development
Modify easily
Modular, reusable code blocks
Arduino IDE
C
Python
Слайд 15Choice: Firmware or
Operating System
Do your need 3rd party developers?
Do you
need multiprocessing?
If no, firmware should be fine (Arduino)
If yes, OS like Android, Linux, QNX, TinyOS
If no, firmware should be fine (Arduino)
If yes, OS like Android, Linux, QNX, TinyOS
Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
Слайд 16Consider cases for use
over a distance
Going beyond just a single user
in their immediate environment
Web or monitoring
Communicate with others in area
Android Wear
Web or monitoring
Communicate with others in area
Android Wear
Слайд 17After proof of concept,
iterate as needed
Hardware
Cost
Power
Real estate
Software
Best practices
API
Web applications
Слайд 19Be mindful when developing
Camera – visual indicator on or off
Data
Ability
to turn on or off data collection
user control, opt out
Level of trust
“Big brother” employee interaction and activity monitoring
Legal – HIPAA
user control, opt out
Level of trust
“Big brother” employee interaction and activity monitoring
Legal – HIPAA
