• Corpus ID: 116607689

On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator

@article{Chalvatzaki2018OnlineHG,
  title={On-line Human Gait Stability Prediction using LSTMs for the fusion of Deep-based Pose Estimation and LRF-based Augmented Gait State Estimation in an Intelligent Robotic Rollator},
  author={Georgia Chalvatzaki and Petros Koutras and Jack Hadfield and Xanthi S. Papageorgiou and Costas S. Tzafestas and Petros Maragos},
  journal={ArXiv},
  year={2018},
  volume={abs/1812.00252}
}
In this work we present a novel Long Short Term Memory (LSTM) based on-line human gait stability prediction framework for the elderly users of an intelligent robotic rollator, using only non-wearable sensors, fusing multimodal RGB-D and Laser Range Finder (LRF) data. A deep learning (DL) based approach is used for the upper body pose estimation. The detected pose is used for estimating the Center of Mass (CoM) of the body using Unscented Kalman Filter (UKF). An Augmented Gait State Estimation… 

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