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Sensors and platforms

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System requirements for wireless sensor platform. 16th October 2006 ... based ... 320 Bytes (Calibrated inertial and magnetic data) Header = 40 Bytes ... – PowerPoint PPT presentation

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Title: Sensors and platforms


1
Sensors and platforms
  • CUCL

2
Overview
  • CUCL experience
  • Inertial and pressure sensors
  • Wireless platforms
  • Initiate discussion
  • What further types of sensors are worthy of
    evaluation
  • System requirements for wireless sensor platform

3
Inertial Measurement Unit (IMU)
  • 3D gyroscopes, 3D accelerometers, digital compass
    (magnetometer)
  • Measurements
  • Linear acceleration (3D)
  • Rate of turn (3D)
  • Direction of sensor relative to the magnetic
    north
  • Output (derived results)
  • 3D orientation (e.g. Euler angles) more
    accurate
  • 3D translation not accurate
  • Key parameters
  • Stride length (SL) and Stride frequency (SF)
  • Acceleration curve over 100m
  • Rotation and translation of body parts
  • Approximate costs
  • Full IMU Xsens MTX 1000
  • Separate components around US 10 each but
    mounting them is an issue

4
Inertial sensor
XSens MTX
5
Inertial sensor
  • Running and stepping on tape markers (1m apart)

6
Force sensors
  • Force Sensing Resistors (FSR)
  • Decrease in resistance with an increase in the
    force applied to the active surface.
  • Cost 50 for a development kit with 16 sensors

Active area
Tail
7
Sentient Sports Shoes
8
Wireless platform and sensors
  • Wireless sensor node (Tmote)
  • 250kbps 2.4GHz IEEE 802.15.4 (Zigbee)
  • 8MHz MSP430 microcontroller
  • Integrated 12-bit ADC
  • Software development in TinyOS
  • 3 force sensors 0.5" diameter (middle and front
    part of foot)
  • 1 force sensor 1.5" square (heel)
  • 1 inertial unit with 3D accelerometers, 3D
    gyroscopes, magnetometers

9
Preliminary Experiments
  • Jogging 50 meters
  • Expected pattern of applied forces
  • Heel Left side impact absorption
  • Right side Toe generates impulse for the next
    stride
  • Not yet interested in the magnitude of forces
  • Real-time data gathering

Toe
Right
Left
Heel
10
Preliminary Results
Heel, left, right, toe
11
Bend Sensors / Optical-based
  • ShapeTape - thin flexible ribbon which measures
    the attitude of the tape at various positions
    along its length.
  • Evaluation of the ShapeTape Tracker for Wearable,
    Mobile Interaction
  • Yohan Baillot, Joshua J. Eliason, Greg S.
    Schmidt, J. Edward Swan II, Dennis Brown, Simon
    Julier, Mark A. Livingston, Lawrence Rosenblum,
    Virtual Reality Laboratory, Naval Research
    Laboratory, Washington D.C.
  • Conclusion ShapeTape is not appropriate for
    interactions which require a high degree of
    accuracy. However, ShapeTape is capable of
    reproducing the qualitative motion the user is
    performing and thus could be used to support 3D
    interaction.
  • Cost range of 1000 - 2000

12
Bend sensor / Resistance-based
  • Resistance proportional to the degree of flexing
    and bending
  • Coated substrate, such as plastic, that changes
    in electrical conductivity as it is bent
  • Cost 40

13
Distance Sensor/Proximity
  • Sharp GP2D12
  • Measure distance between itself and an object
    that is within a distance range of 10cm (4") to
    80cm (30")
  • Cost 15

14
Pulse Oximeter (SpO2)
  • Indicates the percentage of hemoglobin molecules
    in the arterial blood which are saturated with
    oxygen.
  • Approach measures the amount of red and infrared
    light received by the detector and calculates the
    amount absorbed
  • Two options
  • Dolphin clipper sensor (Imperial College)
  • Smaller the BCI Medical Micro-Power Pulse
    Oximeter, measuring 39 mm 20 mm with a current
    draw of just 6.6 mA at 3 V.
  • They also measure heart rate

15
Other physiological sensors
  • ECG
  • EMG
  • Breathing rate

16
Issues
  • Size and wearability of sensor nodes
  • System integration
  • Drift over time - inertial sensing
  • Body sensor network
  • Realtime
  • High sampling rate
  • High volume of data
  • Aggregation and compression on board
  • Network of 5 inertial Xsens Mtx units
  • Magnetometer gyroscope accelerometer
    timestamp
  • 9 fields x 32B 32B 320 Bytes (Calibrated
    inertial and magnetic data)
  • Header 40 Bytes
  • ?Sampling Rate 100 samples/second
  • Total throughput (320 40) x 100 x 5 nodes
    1.44 Mbps
  • Throughput issue for wireless (ZigBee, Bluetooth,
    etc)
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