1 / 16

The Future of Data Collection Using Smart Devices George Yu, PhD CEO / Variable, Inc

The Future of Data Collection Using Smart Devices George Yu, PhD CEO / Variable, Inc. Why do we measure?. Town X. Town Y. So that we can all talk about the same thing. What is measurement accuracy and precision?. The Digital Revolution. Temperature Sensor Analog. ~100C

Download Presentation

The Future of Data Collection Using Smart Devices George Yu, PhD CEO / Variable, Inc

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. The Future of Data Collection Using Smart Devices George Yu, PhD CEO / Variable, Inc

  2. Why do we measure? Town X Town Y So that we can all talk about the same thing

  3. What is measurement accuracy and precision?

  4. The Digital Revolution Temperature Sensor Analog ~100C Accuracy: +/- 5C Analog to Digital Converter 100.12567C

  5. The World of Sensors is Changing Sensors Digital Sensors + Digitizers Computers Embedded Systems w/ Wifi

  6. Connected collecting Infinite data points Centralized data in the cloud Internet of Things (IoT)

  7. IoT for the masses First came the government and enterprise based IoT IoT devices are now widely available for consumers Netatmo Weather Station NODE Nest thermostat

  8. Mobile Centric Sensing Sensors + 1.5 Billion smartphones in the world by end of 2013

  9. Trend of putting sensors in smartphones Smartphone Sensors Accelerometer Cameras Gyroscope GPS Magnetometer Light sensor Barometer Proximity Temperature Microphone Humidity Samsung Galaxy S4

  10. Mobility Low power consumption Low cost Allow user interface with data and device Smartphone as a sensor hub Activity tracker Blood pressure 9 DOF motion Temperature Humidity Pressure Ambient Light Surface Color Chemical Gases Radiation Barcode RFID Soil moisture NODE Body weight

  11. Sensors are everywhere Data Cloud 100.25687C Cheap sensor system Accuracy of +/- 5C sensor We assume data is accurate at 100.25687C

  12. Improper use of sensors Inaccurate sensor prone to bias from temperature, humidity, and other gases On/Off Logic High resolution digitizer Metal Oxide Carbon Monoxide sensor

  13. Garbage in garbage out A lot of garbage in is still just a lot of garbage out A lot of poor sensors means it is harder to extract information Many poor sensors ≠ good data

  14. How to get good sensor data? • Many sensors are not independentGet sensor data in multiple dimensions in context of sensor attributes Temperature Humidity Pressure Metal Oxide Carbon Monoxide sensor H2

  15. Know your sensor - know your data • Your data are just as good as the sensor that measured themBig Data - Small Data - care about good data!

  16. Rise of mobile sensing data Multi-dimensional sensor data Sensor accuracy matters Future of Data Collection

More Related