Human activity recognition in artificial intelligence framework: a narrative review
Human activity recognition (HAR) has multifaceted applications due to its worldly usage of
acquisition devices such as smartphones, video cameras, and its ability to capture human …
acquisition devices such as smartphones, video cameras, and its ability to capture human …
FL-PMI: federated learning-based person movement identification through wearable devices in smart healthcare systems
Recent technological developments, such as the Internet of Things (IoT), artificial
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
intelligence, edge, and cloud computing, have paved the way in transforming traditional …
Human action recognition in smart living services and applications: context awareness, data availability, personalization, and privacy
Smart living, an increasingly prominent concept, entails incorporating sophisticated
technologies in homes and urban environments to elevate the quality of life for citizens. A …
technologies in homes and urban environments to elevate the quality of life for citizens. A …
Human activity recognition from sensor data using spatial attention-aided CNN with genetic algorithm
A Sarkar, SKS Hossain, R Sarkar - Neural Computing and Applications, 2023 - Springer
Capturing time and frequency relationships of time series signals offers an inherent barrier
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
for automatic human activity recognition (HAR) from wearable sensor data. Extracting …
Deep learning for heterogeneous human activity recognition in complex iot applications
M Abdel-Basset, H Hawash, V Chang… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
With continued improvements in wireless sensing technology, the notion of the Internet of
Things (IoT) has been widely adopted and has become pervasive owing to its broad …
Things (IoT) has been widely adopted and has become pervasive owing to its broad …
Exploring raw data transformations on inertial sensor data to model user expertise when learning psychomotor skills
This paper introduces a novel approach for leveraging inertial data to discern expertise
levels in motor skill execution, specifically distinguishing between experts and beginners. By …
levels in motor skill execution, specifically distinguishing between experts and beginners. By …
Context-Aware Edge-Based AI Models for Wireless Sensor Networks—An Overview
Recent advances in sensor technology are expected to lead to a greater use of wireless
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
sensor networks (WSNs) in industry, logistics, healthcare, etc. On the other hand, advances …
Human activity recognition based on multi‐instance learning
D Bagci Das, D Birant - Expert Systems, 2023 - Wiley Online Library
Human activity recognition (HAR) is the process of classifying a person's actions, and it is an
essential task for many human‐centered applications. Multi‐instance learning (MIL) is a …
essential task for many human‐centered applications. Multi‐instance learning (MIL) is a …
Human Activity Recognition Berdasarkan Tangkapan Webcam Menggunakan Metode Convolutional Neural Network (CNN) Dengan Arsitektur MobileNet
Manusia tidak bisa terlepas dari aktivitas sehari-hari yang mana merupakan bagian dari
kehidupan manusia. Human activity recognition atau pengenalan aktivitas manusia saat ini …
kehidupan manusia. Human activity recognition atau pengenalan aktivitas manusia saat ini …
A framework for daily living activity recognition using fusion of smartphone inertial sensors data
S Khan, SMA Shah, SH Noorani… - 2023 4th …, 2023 - ieeexplore.ieee.org
Recent years have seen rapid advancements in the human activity recognition field using
data from smart sensor devices. A wide variety of real-world applications can be found in …
data from smart sensor devices. A wide variety of real-world applications can be found in …