Human Activity Prediction Based on Forecasted IMU Activity Signals by Sequence-to-Sequence Deep Neural Networks

Human Activity Recognition (HAR) has gained significant attention due to its broad range of applications, such as healthcare, industrial work safety, activity assistance, and driver monitoring. Most prior HAR systems are based on recorded sensor data (i.e., past information) recognizing human activi...

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Detalles Bibliográficos
Autores principales: Jaramillo, Ismael Espinoza, Chola, Channabasava, Jeong, Jin-Gyun, Oh, Ji-Heon, Jung, Hwanseok, Lee, Jin-Hyuk, Lee, Won Hee, Kim, Tae-Seong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385571/
https://www.ncbi.nlm.nih.gov/pubmed/37514789
http://dx.doi.org/10.3390/s23146491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10385571/
https://www.ncbi.nlm.nih.gov/pubmed/37514789
http://dx.doi.org/10.3390/s23146491

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