Date post: | 30-Dec-2015 |
Category: |
Documents |
Upload: | giles-nelson |
View: | 213 times |
Download: | 0 times |
HUMANWARE - New Related Work- Activity and Location Recognition Using Wearable Sensors- Memories for Life- SharMe – Nokia Research Center
La The Vinh
Activity and Location Recognition Using Wearable Sensors
Proposed by Seon-Woo Lee and Kenji Mase Using acceleration and angular velocity data Inexpensive, wearable sensors Determine user’s location base on relative
distance from a given place Integrate incremental motion information over
time
Activity and Location Recognition Using Wearable Sensors
The systemLinux-based PDA2xSensor module
MicrocontrollerBiaxial accelerometerDigital compass sensorAngular velocity sensor
RS232 communication
Activity and Location Recognition Using Wearable Sensors
Unit motionsSittingStandingWalking - Steps
Walking on a level groundGoing upGoing down
Activity and Location Recognition Using Wearable Sensors
Training phaseRecord unit motions and heading
measurements while user walks from one location to another
Ax(t),Az(t), θ(t) – Leg ModuleNorth, East, South, West – Waist Module
Build the transition table
Activity and Location Recognition Using Wearable Sensors
Recognition phaseDetect walking behaviorConstruct the vectorMatch to the transition tableUpdate user position
Activity and Location Recognition Using Wearable Sensors
Motion Recognitionσx(t)
σy(t)
σθ(t)
Δθ1
Δθ2
Δθ3
Activity and Location Recognition Using Wearable Sensors
Steps CountingUsing peaks of az(t) – the blue
Activity and Location Recognition Using Wearable Sensors
Moving position Cx(k+1) = Cx(k) + Slcos(2πAh)
Cy(k+1) = Cy(k) + Slsin(2πAh)
Cz(k+1) = Cz(k) + Ss
Sl – Normalized length of a step on a level ground
Ss – Normalized length of an up/down step
Activity and Location Recognition Using Wearable Sensors
Transition vectors from location i to jTi,j = {dx
ij,dyij,dz
ij}
Test condition |Cx – dij
x| < thresholdx
|Cy – dijy| < thresholdy
|Cz – dijz| < thresholdz