Transcript OldSmartRunningTrackRakocevicCrnjin

WSN in enhancing exercise
experience in personal fitness
Your Name
Your Title
Goran Rakočević [email protected]
Aleksandar
Crnjin
[email protected]
Your
Organization
(Line #1)
2005-12-31
Your Organization (Line #2)
Agenda
Introduction to WSN in fitness and sports
Body Area Network
Bluetooth PAN profile
Bluetooth Body Area Network formation
Exercise Environment sensor network
Central server
Case study :Smart Running Track
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WSN technology in fitness and sports
Create an smart exercise environment that:
tracks users movement
monitors and stores his vital parameters
gives users feedback in order to make the exercise
more efficient/safe and to motivate him
Three major subsystems:
Body area network
Exercise Environment
sensor network
Central server
3/16
Sensor Body Area Network
A network of sensor devices
monitoring user's vital parameters
ecg, SpO2, pulse, blood pressure, pedometer...
Deployed on the user's body
Bluetooth technology
is ideal for this application!
BAN also incorporates means
to deliver information to the user
(mobile phone, PDA, etc.)
4/16
Bluetooth PAN Profile
Allows a Bluetooth device to join a piconet
and access LAN resources or a WAN network
via a Bluetooth Network Access Point (NAP)
Supports IPv4 and IPv6
NAP acts as the master
Up to 7 PAN Users (PANUs)
can join the piconet
However, Bluetooth PAN
does not specify a network formation procedure!
5/16
PAN network formation
We're only interested in AdHoc network formation!
The SAPFIO network formation procedure
(Jovnik, Van Thanh, “Ad-hoc Formation of Bluetooth
Piconet for data communication”, 2002)
All devices start symmetric inquiry procedure
of all BT devices within range
When every device detects all other devices within
range,
they will inform their neighbors about detected devices
All devices can now form tables of all devices
and their possible connections in the the future piconet
All nodes with outside connection and highest number
of connections are considered candidates for the
Master
If more than one device are candidates,
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PAN network formation (2)
Main parameter in SAPFIO is number of detected nodes
In a Body Area Network it can be assumed
that all nodes have connectivity to all other nodes
=>number of detected nodes is useless
as a parameter for choice of master node
A new ad-hoc network formation procedure
that takes into account specifics of a BAN is needed
7/16
BAN network formation protocol
Every node is in range of every other node
More than one node can serve as the NAP
Ability of a node to serve as a NAP changes over time
Nodes rarely leave and join the network
Procedure:
All nodes that can serve as NAPs
go into symmetric discovery mode
Once all possible NAPs know about all of the other,
a NAP is chosen among them (by type and BADDR value)
NAP goes into discoverable mode and starts operating
All other nodes connect to the NAP (followed by a role switch)
8/16
BAN network formation protocol (2)
If NAP loses outside connectivity (or battery gets low)
a new NAP must be chosen
Current NAP notifies all other nodes
to go to short-term no-connection mode
(e.g. locally buffering the data)
Current NAP choses the next NAP
and requests a connection status update
(to check whether it has an outside connection)
If the response is positive
the NAP checks it's own connection again
(to avoid network reconfiguration
on short outside connection loses),
otherwise next NAP candidate is contacted
If still no connection, all nodes are informed of the new NAP
Old NAP closes all connection,
new network is formed around the new NAP
9/16
Exercise enviorment sensor network
A network of sensors deployed
in the exercise environment
Monitors the environmental parameters
of the surroundings
In some systems also relays the information
from the users' BANs to the central server
Zigbee technology is best suited for this subsystem
10/16
Central server
Gathers the data from all of the sensors
Processes these data
(according to the specific application)
Stores the data for later review or further processing
Sends the required data back to the user
Allows for the control of the whole system
11/16
Case study: Smart Running Track
An implementation of a WSN system
in fitness and sports
Objective:
to make running:
more observable
by trainers and physicians
more interesting to amateur runners
more competitive:
rank not only by their present position,
but also by, for example,
number of spent calories,
obstacles jumped
12/16
System architecture
13/16
Smart Running Track BAN
Base on Shimmer nodes
On each runner sensor nodes are deployed,
with the following sensors:
Pedometer
Heart Rate sensor
Temperature sensor
This enables:
Measurement of running speed
Heart rate monitoring
Spent calorie measurement:
calories spent = f (body weight, speed)
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Delivering information to users
BioScreen View
Calorie count
Heart rate, Body temperature
Current / Average Speed
etc.
Map View
Shows current positions of all runners
on the image of the running path
Score List View
Score can be measured in:
Running positions
Average speed
Spent calorie count
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Central Server
Allows for:
monitoring of the whole track
insight into the vital paramters
of each of the runners
calculates the calorie consumption
for each of the runners
sorts the runners by the chosen critria
stores data and sends them to runners
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WSN in enhancing exercise
experience in personal fitness
Your Name
Your Title
Goran Rakočević [email protected]
Aleksandar
Crnjin
[email protected]
Your
Organization
(Line #1)
2005-12-31
Your Organization (Line #2)