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Using Smartphone BLE RSSI Values to Classify Proximity with Deep Neural Networks

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kavindaperera/nova-shield-proximity-classification

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Using Smartphone BLE RSSI Values to Classify Proximity with Deep Neural Networks

Devices used

Device Name Model
D1 Xiaomi Redmi Note 10 Pro M2101K6G
D2 Xiaomi Redmi 9 M2004J19C
D3 Nokia 5.1 Plus -
D4 Nokia 2.3 -

4 different scenarios

  • Data collection with Devices 3 feet apart in an indoor open space.
  • Data collection with Devices 9 feet apart in an indoor open space.
  • Data collection with Devices 3 feet apart with an interior wall in between.
  • Data collection with Devices 9 feet apart with an interior wall in between.
Scenario Conditions Target Classification
open3feet - 3 feet apart
- Indoor space
1
open9feet - 9 feet apart
- Indoor space
0
wall9feet - 3 feet apart
- Indoor wall in between
0
wall9feet - 9 feet apart
- Indoor wall in between
0

Results:

Hidden layer size 1 Dense Layers model model description
Hidden layer size 64

Hidden layer size 128

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Using Smartphone BLE RSSI Values to Classify Proximity with Deep Neural Networks

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