Pedestrian Positioning from Wrist-worn Wearable Devices Luis - - PowerPoint PPT Presentation

pedestrian positioning from wrist worn wearable devices
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Pedestrian Positioning from Wrist-worn Wearable Devices Luis - - PowerPoint PPT Presentation

Pedestrian Positioning from Wrist-worn Wearable Devices Luis Enrique Dez and Alfonso Bahillo Faculty of Engineering, University of Deusto, Bilbao, Spain 2016 7th Indoor Positioning and Indoor Navigation Conference Introduction System


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Pedestrian Positioning from Wrist-worn Wearable Devices

Luis Enrique Díez and Alfonso Bahillo

Faculty of Engineering, University of Deusto, Bilbao, Spain

2016 7th Indoor Positioning and Indoor Navigation Conference

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Introduction System Description Conclusions and Future work

Motivation and Objective

Motivation Why a wrist-worn sensor? Foot-mounted sensors are not very convenient for the users Non-constrained way of carrying Smartphones makes the estimation process challenging Current availability of Smartwatches and Smartbands We all are used to wear devices around our wrists Wrist-worn as a sub-case of Smartphone: constrained motion

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 2 / 6

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Introduction System Description Conclusions and Future work

Motivation and Objective

Motivation Why a wrist-worn sensor? Foot-mounted sensors are not very convenient for the users Non-constrained way of carrying Smartphones makes the estimation process challenging Current availability of Smartwatches and Smartbands We all are used to wear devices around our wrists Wrist-worn as a sub-case of Smartphone: constrained motion Objective To take advantage of that wrist’s constraint of motion to improve the Smartphone’s accuracy while using a more convenient sensor location

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 2 / 6

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Introduction System Description Conclusions and Future work

System block diagram

Step Detector Step Length Estimator Step Heading Estimator

PDR

Attitude and Heading Reference System Position Update Magnetometers Gyroscopes Accelerometers Barometer

Yaw Step frequency Step acceleration Variance

3D Position (x, y, floor)

Step length Step heading

MEMS Sensors

Floor Estimator

Floor Stairs detection

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 3 / 6

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Introduction System Description Conclusions and Future work

Hardware description

Sensor: MTi-300 AHRS IMU from Xsens

3 axis Accelerometer (100 Hz) 3 axis Gyroscope (100 Hz) 3 axis Magnetometer (100 Hz) Barometer (50 Hz)

Online data processing: Matlab running in a laptop Installation: Laptop in a backpack plus a wireless mouse to start/stop the system and record the keypoints.

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 4 / 6

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Introduction System Description Conclusions and Future work

Conclusions and Future work

Our first complete 2.5D wrist-worn PDR system implementation

Improvements are needed in every block of the system. It is a starting point to go on working on it.

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 5 / 6

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Introduction System Description Conclusions and Future work

Conclusions and Future work

Our first complete 2.5D wrist-worn PDR system implementation

Improvements are needed in every block of the system. It is a starting point to go on working on it.

Near-future wrist-worn specific tasks:

To reduce false positive steps when there is no real displacement. Better estimation of heading misalingment between device and user. To keep on searching for an advantage from the wrist constrained movements.

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 5 / 6

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THANK YOU

THANK YOU FOR YOUR ATTENTION!!

luis.enrique.diez@deusto.es IPIN2016 Competition Track 2 (PDR) 6 / 6