2014 Sensors in Motion   Software Engineer Lead  October 10, 2014 #GHC1 4 2014.

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Presentation transcript:

2014 Sensors in Motion   Software Engineer Lead  October 10, 2014 #GHC

MEMS – Micro Electro Mechanical System

2014 You Gotta Get That Data

2014 What Does the Raw Data Look Like?

2014 Dot Product - x1*x2 + y1*y2 + z1*z2

“Best Pedometer Algorithm”

2014 Algorithm: 19 steps Actual: 20 steps Algorithm Accuracy

2014 Step State Machine

2014

Actual: 100 Tuned thresholds:99 Average high:1.94 Average low:0.65 Average time per step:0.53 Initial thresholds:108 Algorithm Tuning and Accuracy

2014 Sensor Hardware Trends Sensor fusion – algorithms to incorporate gyroscope, magnetometer, barometer, computer vision Refining algorithms and pushing them to the sensor micro- controller. This could be as simple as shake detection or a basic pedometer, or as complex as motion classification. Getting a history of data from the sensor, both raw data and aggregated data.

2014 I cannot live on accelerometer alone

2014

us/app/sensorinfo/95015d9e b8- 9d3c-15c7b http://apps.microsoft.com/windows/en- us/app/sensorinfo/95015d9e b8- 9d3c-15c7b monitor/id ?mt=8https://itunes.apple.com/us/app/sensor- monitor/id ?mt=8 sensors/sensors_overview.htmlhttp://developer.android.com/guide/topics/ sensors/sensors_overview.html

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