ISTI CNR
Name of the competing system: AReM
Name and email of the responsible person: Filippo Palumbo (
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)
Date and place: 11/07/2013 Valencia, Spain
Data sources
For each datasource the following table is fulfilled:
|
Name
|
Acceleration data gathered from Android phone
|
|
Description of the information measured
|
Y axis accelerometer data
L2 Norm of accelerometer data : sqrt(x^2 + y^2 + z^2) |
|
Units
|
Acceleration (m/s2)
|
|
Example values
|
9.918428421020508 m/s2
|
|
Frequency of generated data in operation
|
Acceleration rate is generated with the setting SENSOR_DELAY_FASTEST that get sensor data as fast as possible (~5ms).
|
|
Name
|
Received Signal Strength from wireless sensor network installed at the test site.
|
|
Description of the information measured
|
Mean and Standard Deviation values of Received Signal Strength (RSS) of each tag provided by the Crossbow IRIS tags
|
|
Units
|
RSSI (RSS Index)
|
|
Example values
|
Mean: 15.75 - Standard Deviation: 2.4874685
|
|
Frequency of generated data in operation
|
RSSI mean and standard deviation rate is generated every 250ms
|
DataSets
After, for instance, 30 minutes operation the competitor generates the following data sets:
3 text files with the following information separated by white spaces:
- inputFromWSN.txt
- timestamp MEAN_RSSI_12 SD_RSSI_12 MEAN_RSSI_13 SD_RSSI_13 MEAN_RSSI_23 SD_RSSI_23 MEAN_RSSI_14 SD_RSSI_24
- where the indexes i and j represent the tag id (MEAN_RSSI_IJ SD_RSSI_IJ), so ij is the reciprocal value
- i=1 -> left ankle; i=2 -> right ankle; i=3 -> chest; i=4 -> cyclette
- L2NormAccelerationVector.txt
- timestamp L2NormAccelerationValue
- YGravity.txt
- timestamp AccelerationYValue
Files:
- inputFromWSN.txt
- L2NormAccelerationVector.txt
- YGravity.txt
Devices used during benchmark
|
Device name
|
Type
|
Position in LLab (x,y,z) in meters
|
Position in user
|
Input
|
Output
|
Communication means to your system
|
|
Tag1
|
IRIS mote
|
-
|
Left Ankle
|
Person moves
|
RSS between other sensors
|
TinyOS 802.15.4
|
|
Tag2
|
IRIS mote
|
-
|
Right Ankle
|
Person moves
|
RSS between other sensors
|
TinyOS 802.15.4
|
|
Tag3
|
IRIS mote
|
-
|
Chest
|
Person moves
|
RSS between other sensors
|
TinyOS 802.15.4
|
|
Tag4
|
IRIS mote
|
On the cyclette
|
-
|
Person nearby
|
RSS between other sensors
|
TinyOS 802.15.4
|
|
Smartphone1
|
Android phone
|
-
|
Trouse pocket
|
Person moves
|
Accelerometer
|
MQTT
|
|
Download datasets .
|
