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B-HAR: an open-source baseline framework for in depth study of human
  activity recognition datasets and workflows

B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows

23 January 2021
Florenc Demrozi
Cristian Turetta
G. Pravadelli
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Papers citing "B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows"

2 / 2 papers shown
Title
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based
  Activity Recognition
Meta-Decomposition: Dynamic Segmentation Approach Selection in IoT-based Activity Recognition
Seyed Mohammad Reza Modaresi
A. Osmani
Mohammadreza Razzazi
A. Chibani
41
0
0
17 Apr 2024
Estimating indoor occupancy through low-cost BLE devices
Estimating indoor occupancy through low-cost BLE devices
Florenc Demrozi
Cristian Turetta
Fabio Chiarani
Philipp H. Kindt
G. Pravadelli
14
33
0
30 Jan 2021
1