Deep learning in human activity recognition with wearable sensors: A review on advances

S Zhang, Y Li, S Zhang, F Shahabi, S Xia, Y Deng… - Sensors, 2022 - mdpi.com
Mobile and wearable devices have enabled numerous applications, including activity
tracking, wellness monitoring, and human–computer interaction, that measure and improve …

Human activity recognition using inertial, physiological and environmental sensors: A comprehensive survey

F Demrozi, G Pravadelli, A Bihorac, P Rashidi - IEEE access, 2020 - ieeexplore.ieee.org
In the last decade, Human Activity Recognition (HAR) has become a vibrant research area,
especially due to the spread of electronic devices such as smartphones, smartwatches and …

Challenges and opportunities of biometric user authentication in the age of iot: A survey

CW Lien, S Vhaduri - ACM Computing Surveys, 2023 - dl.acm.org
While the Internet of Things (IoT) devices, such as smartwatches, provide a range of services
from managing financial transactions to monitoring smart homes, these devices often lead to …

A public domain dataset for real-life human activity recognition using smartphone sensors

D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco… - Sensors, 2020 - mdpi.com
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

A novel deep learning Bi-GRU-I model for real-time human activity recognition using inertial sensors

L Tong, H Ma, Q Lin, J He, L Peng - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Wearable sensor based Human Activity Recognition (HAR) has been widely used these
years. This paper proposed a novel deep learning model for HAR using inertial sensors …

Occupant-centered real-time control of indoor temperature using deep learning algorithms

S Jung, J Jeoung, T Hong - Building and Environment, 2022 - Elsevier
This study aims to propose Real-COMFORT-a novel occupant-centered real-time indoor
temperature control system using deep learning algorithms to simultaneously optimize the …

Analyzing the effectiveness and contribution of each axis of tri-axial accelerometer sensor for accurate activity recognition

AR Javed, MU Sarwar, S Khan, C Iwendi, M Mittal… - Sensors, 2020 - mdpi.com
Recognizing human physical activities from streaming smartphone sensor readings is
essential for the successful realization of a smart environment. Physical activity recognition …

Human activity recognition based on wearable sensor data: A standardization of the state-of-the-art

A Jordao, AC Nazare Jr, J Sena… - arXiv preprint arXiv …, 2018 - arxiv.org
Human activity recognition based on wearable sensor data has been an attractive research
topic due to its application in areas such as healthcare and smart environments. In this …

Comparison of different sets of features for human activity recognition by wearable sensors

S Rosati, G Balestra, M Knaflitz - Sensors, 2018 - mdpi.com
Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …

A CSI-based multi-environment human activity recognition framework

BA Alsaify, MM Almazari, R Alazrai, S Alouneh… - Applied Sciences, 2022 - mdpi.com
Passive human activity recognition (HAR) systems, in which no sensors are attached to the
subject, provide great potentials compared to conventional systems. One of the recently …