Detection and classification of multidirectional steps for motor-cognitive training in older adults using shoe-mounted inertial sensors

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2019

Autores

Vania Guimarães (Autor) Outra; Inês Sousa (Autor) Outra; Miguel V. Correia (Autor) FEUP

Ata de Conferência Internacional

Título: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Páginas: 6926-6929

41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2019

23 July 2019 through 27 July 2019

Outras Informações

ID Authenticus: P-00S-Q7D

DOI: 10.1109/EMBC.2019.8856851

Abstract (EN): Interactive games have the potential to mitigate or prevent gait impairments and cognitive decline in older adults. This study aimed at developing a novel real-time step detection and direction classification approach to be used in the evaluation of multidirectional steps and interaction while playing motor-cognitive games. Two shoe-mounted inertial sensors were used to capture foot motions, which were treated interchangeably after the application of a novel foot sagittal reflection method. A single multi-class classifier was able to distinguish step direction with an accuracy of 98.1%. Experimental results support the applicability of the solution in the context of interactive motor-cognitive training. © 2019 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 4