What are you wearing? People, Prototypes, and Privacy

San Diego MiniMaker Faire Meetup at the San Diego Central Library during Start Up Week. Wearable electronics.

Transcript

1. “What are you wearing?” People Prototypes Privacy Carol Willing Fab Lab San Diego SD MMF Wearables June 16, 2014
2. Welcome People Prototypes Privacy Please let me introduce some people from my past
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 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.
12. Sensors 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 Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
13. Sensor 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) Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
14. Choose software for ease of development – Modify easily – Modular, reusable code blocks – Arduino IDE – C – Python
15. Choice: 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 Source: O’Reilly Solid Conference 2014 – Moe Tanabian, Samsung
16. Consider 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
17. After proof of concept, iterate as needed •  Hardware – Cost – Power – Real estate •  Software – Best practices – API – Web applications
18. Privacy Consideration Provide options
19. Be 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
20. What are you wearing? •  Questions •  Ideas for brainstorming Thank you