Alzheimer’s Disease stage identification using deep learning models

•Movement data were used to identify severity stage of Alzheimer’s Disease.•Smartphone accelerometers are useful and accessible tools to obtain meaningful data.•Machine Learning models can serve as an effective diagnostic tool.•1D-CNNs outperform other models on identifying the AD stage using accelerometer data.•Different settings (Batch-Norm, Dropout, Pooling operations) were tested for the CNN.