University of Seville
Name of the competing system: Activity recognition system using non‐intrusive devices through a complementary technique based on discrete methods
Name and email of the responsible person: Miguel Ángel Álvarez de la Concepción
(
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)
Date and place: 11/07/2013, Valencia, Spain
Data sources
For each datasource the following table is fulfilled:
|
Name
|
Acceleration
|
|
Description of the information measured
|
Sensor acceleration provided by a triaxial accelerometer from a mobile phone
|
|
Units
|
Acceleration (m/s2)
|
|
Example values
|
1.56, 9.8, 9.31
|
|
Frequency of generated data in operation
|
Acceleration 50ms
|
|
Name
|
Barometer
|
|
Description of the information measured
|
Barometer from a mobile phone
|
|
Units
|
|
|
Example values
|
|
|
Frequency of generated data in operation
|
Altitude is generated every 50ms.
|
DataSets
After, for instance, 30 minutes operation the competitor generates the following data sets:
- An array of arrays that include: [activity, statistical values], every 3 sec.
Files:
- A file containing these samples in .xls format.
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
|
|
Acceleromter (Mobile phone with Android operative system)
|
Accelerometer
|
-
|
Left side hip
|
Person moves
|
Acceleration X,Y,Z[0G, 20G]
|
Embedded
|
| Barometer |
Barometer |
- |
Left side hip |
Person moves |
Altitude |
Embedded |
Download datasets .
|
