Potentials of Enhanced Context Awareness in Wearable Assistants for Parkinson's Disease Patients with the Freezing of Gait Syndrome

By M. Bächlin, Daniel Roggen, Gerhard Tröster, M. Plotnik, Noit Inbar, I. Maidan, T. Herman, M. Brozgol, E. Shaviv, Nir Giladi and 1 more. 2009

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How researchers see this paper

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Wearable Assistant for Parkinson’s Disease Patients With the Freezing of Gait Symptom (2010, background): “There are several areas for technical improvements [ 28 ].”
Recent trends in machine learning for human activity recognition—A survey (2018, methodology): “, 2009), PAMAP2 (Reiss & Stricker, 2012), and Daphnet Gait (Bachlin et al., 2009) dataset. The authors also found that the RNN outperformed CNN for activities which are of short duration. Ordóñez and Roggen (2016) have proposed a novel deep network comprising of convolutional and LSTM layers. The au”
A tutorial on human activity recognition using body-worn inertial sensors (2014, methodology): “Monitoring daily activity to support medical diagnosis, for rehabilitation, or to assist patients with chronic impairments were shown to provide key enhancements to traditional medical methods [Starner et al. 1997; Sung et al. 2005; Chen et al. 2005; Oliver and Flores-Mangas 2007; Bächlin et al. 200”
Gait Analysis Using Wearable Sensors (2012, methodology): “The assessment of the freezing-of-gait symptom and the gait-unfreezing method [163,164] has also been established using the wearable assistant.”