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Computational Analysis of Human Navigation in a VR Spatial Memory Locomotor Assessment Using Density-Based Clustering Algorithm of Applications with Noise DBSCAN by Ihababdelbasset Annaki; Mohammed Rahmoune; Mohammed Bourhaleb; Noureddine Rahmoun; Mohamed Zaoui; Alexander Castilla; Alain Berthoz; Bernard Cohen is a book available to read on EtoBox.

What is Computational Analysis of Human Navigation in a VR Spatial Memory Locomotor Assessment Using Density-Based Clustering Algorithm of Applications with Noise DBSCAN about?

In this study, we explore human navigation as evaluated by the VR Magic Carpet TM (VMC) [1], a variation of the Corsi Block Tapping task (CBT) [2, 3], employing Density-based spatial clustering of applications with noise (DBSCAN) [4]. As a result of the VMC, we acquired raw spatial data in 3D space, which we processed, analyzed, and turned into trajectories before evaluating them from a kinematic standpoint. Our previous research [5] revealed three unique groupings. However, the categorization remained ambiguous, showing clusters with diverse people (patients and healthy). We utilized DBSCAN to compare patients' navigation behavior to healthy individuals, highlighting the most notable differences and assessing our existing classifiers. Our research aims to produce insights that may help clinicians and neuroscientists adopt machine learning, especially clustering algorithms, to identify cognitive impairments and analyze human navigation behavior.

Author

Ihababdelbasset Annaki; Mohammed Rahmoune; Mohammed Bourhaleb; Noureddine Rahmoun; Mohamed Zaoui; Alexander Castilla; Alain Berthoz; Bernard Cohen

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783031024481

Subjects

Computer Science, Engineering, Science