Browsing AURA by Author "Chelli, Ali"
Now showing items 1-11 of 11
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Fall Detection Based on the Instantaneous Doppler Frequency : A Machine Learning Approach
Chelli, Ali; Pätzold, Matthias Uwe (Chapter; Peer reviewed, 2019) -
The Impact of Fixed and Moving Scatterers on the Statistics of MIMO Vehicle-to-Vehicle Channels
Chelli, Ali; Pätzold, Matthias (Journal article; Peer reviewed, 2009)In this paper, we study the impact of fixed and moving clusters of scatterers on the statistics of multiple- input multiple-output (MIMO) vehicle-to-vehicle (V2V) channels. Double-bounce scattering is assumed for fixed ... -
A Machine Learning Approach for Fall Detection and Daily Living Activity Recognition
Chelli, Ali; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2019) -
A Machine Learning Approach for Fall Detection Based on the Instantaneous Doppler Frequency
Chelli, Ali; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2019) -
Modelling of Mobile-To-Mobile MIMO Channels
Chelli, Ali (Master thesis, 2007)Mobile-to-Mobile (M2M) communications are expected to play are expected to play an important role in various elds including ad hoc networks and intelligent transportation systems. In such systems, extremely reliable ... -
A non-stationary MIMO vehicle-to-vehicle channel model based on the geometrical T-junction model
Chelli, Ali; Pätzold, Matthias (Chapter; Peer reviewed, 2009)In this paper, we derive a non-stationary multiple-input multiple-output (MIMO) vehicle-to-vehicle (V2V) channel model from the geometrical T-junction model. The propagation environment is assumed to be extremely non-isotropic. ... -
Recognition of Falls and Daily Living Activities Using Machine Learning
Chelli, Ali; Pätzold, Matthias Uwe (Journal article; Peer reviewed, 2018)A robust fall detection system is essential to support the independent living of elderlies. In this context, we develop a machine learning framework for fall detection and daily living activity recognition. Using acceleration ... -
Throughput and delay analysis of HARQ with code combining over double Rayleigh fading channels
Chelli, Ali; Zedini, Emna; Alouini, Mohamed-Slim; Pätzold, Matthias Uwe; Balasingham, Ilangko (Journal article; Peer reviewed, 2018) -
Wi-Sense: a passive human activity recognition system using Wi-Fi and convolutional neural network and its integration in health information systems
Muaaz, Muhammad; Chelli, Ali; Gerdes, Martin; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2021) -
WiHAR : From Wi-Fi Channel State Information to Unobtrusive Human Activity Recognition
Muaaz, Muhammad; Chelli, Ali; Pätzold, Matthias Uwe (Journal article; Peer reviewed, 2020) -
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
Muaaz, Muhammad; Chelli, Ali; Abdelgawwad, Ahmed; Catala Mallofré, Andreu; Pätzold, Matthias Uwe (Peer reviewed; Journal article, 2020)