[HTML][HTML] Face mask recognition system using CNN model
G Kaur, R Sinha, PK Tiwari, SK Yadav, P Pandey… - Neuroscience …, 2022 - Elsevier
COVID-19 epidemic has swiftly disrupted our day-to-day lives affecting the international
trade and movements. Wearing a face mask to protect one's face has become the new …
trade and movements. Wearing a face mask to protect one's face has become the new …
A survey on unsupervised learning for wearable sensor-based activity recognition
Abstract Human Activity Recognition (HAR) is an essential task in various applications such
as pervasive healthcare, smart environment, and security and surveillance. The need to …
as pervasive healthcare, smart environment, and security and surveillance. The need to …
Vision-based human action recognition: An overview and real world challenges
Within a large range of applications in computer vision, Human Action Recognition has
become one of the most attractive research fields. Ambiguities in recognizing actions does …
become one of the most attractive research fields. Ambiguities in recognizing actions does …
Intelligent posture training: machine-learning-powered human sitting posture recognition based on a pressure-sensing IoT cushion
We present a solution for intelligent posture training based on accurate, real-time sitting
posture monitoring using the LifeChair IoT cushion and supervised machine learning from …
posture monitoring using the LifeChair IoT cushion and supervised machine learning from …
[HTML][HTML] 1D Convolution approach to human activity recognition using sensor data and comparison with machine learning algorithms
K Muralidharan, A Ramesh, G Rithvik, S Prem… - International Journal of …, 2021 - Elsevier
Abstract Human Activity Recognition (HAR) has emerged as a major player in this era of
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …
cutting-edge technological advancement. A key role that HAR plays is its ability to remotely …
A Systematic Review of Human Activity Recognition Based On Mobile Devices: Overview, Progress and Trends
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …
Intent based recognition of walking and ramp activities for amputee using sEMG based lower limb prostheses
The use of surface electromyogram (sEMG) has grown in the field of gait analysis,
prostheses and exoskeleton. Surface electromyogram can directly reflect the human …
prostheses and exoskeleton. Surface electromyogram can directly reflect the human …
Identification and Classification of Human Body Exercises on Smart Textile Bands by Combining Decision Tree and Convolutional Neural Networks
B Koo, NT Nguyen, J Kim - Sensors, 2023 - mdpi.com
In recent years, human activity recognition (HAR) has gained significant interest from
researchers in the sports and fitness industries. In this study, the authors have proposed a …
researchers in the sports and fitness industries. In this study, the authors have proposed a …
Wearable sensor data classification for human activity recognition based on an iterative learning framework
JC Davila, AM Cretu, M Zaremba - Sensors, 2017 - mdpi.com
The design of multiple human activity recognition applications in areas such as healthcare,
sports and safety relies on wearable sensor technologies. However, when making decisions …
sports and safety relies on wearable sensor technologies. However, when making decisions …
Automated detection approaches to autism spectrum disorder based on human activity analysis: A review
Abstract Autism Spectrum Disorder (ASD) is a neuro-developmental disorder that limits
social and cognitive abilities. ASD has no cure so early diagnosis is important for reducing …
social and cognitive abilities. ASD has no cure so early diagnosis is important for reducing …