Intelligent Localization and Deep Human Activity Recognition through IoT Devices

• Published in: Sensors (Basel, Switzerland) Vol. 23; no. 17; p. 7363
• Main Authors: Alazeb, Abdulwahab, Azmat, Usman, Al Mudawi, Naif, Alshahrani, Abdullah, Alotaibi, Saud S., Almujally, Nouf Abdullah, Jalal, Ahmad
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 23.08.2023; MDPI
• Subjects: Accelerometers; Accuracy; Activities of daily living; activity recognition; Algorithms; Analysis; Classification; deep learning; deep neural decision forest; genetic algorithm; Global positioning systems; GPS; Internet of Things; IoT; Localization; Sensors; Smart houses; Smart phones; Smartphones; Smartwatches; Wearable computers; Saudi Arabia; New York; United Kingdom; Germany

Ubiquitous computing has been a green research area that has managed to attract and sustain the attention of researchers for some time now. As ubiquitous computing applications, human activity recognition and localization have also been popularly worked on. These applications are used in healthcare...