A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices

A Deep Learning Approach for Human Activities Recognition From Multimodal Sensing Devices

Research in the recognition of human activities of daily living has significantly improved using deep learning techniques. Traditional human activity recognition techniques often use handcrafted features from heuristic processes from single sensing modality. The development of deep learning techniqu...

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Bibliographic Details
Main Authors: Isibor Kennedy Ihianle, Augustine O. Nwajana, Solomon Henry Ebenuwa, Richard I. Otuka, Kayode Owa, Mobolaji O. Orisatoki
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Human activity recognition
deep learning
machine learning
wearable sensors
convolutional neural network
long short-term memory
Online Access:https://ieeexplore.ieee.org/document/9209961/

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