Smartphone-based human activity recognition using lightweight multiheaded temporal convolutional network

SR Sekaran, PY Han, OS Yin - Expert Systems with Applications, 2023 - Elsevier
Sensor-based human activity recognition (HAR) has drawn extensive attention from the
research community due to its potential applications in various domains, including …

[HTML][HTML] Improving the performance and explainability of indoor human activity recognition in the internet of things environment

AB Cengiz, KU Birant, M Cengiz, D Birant, K Baysari - Symmetry, 2022 - mdpi.com
Traditional indoor human activity recognition (HAR) has been defined as a time-series data
classification problem and requires feature extraction. The current indoor HAR systems still …

A hybrid TCN-GRU model for classifying human activities using smartphone inertial signals

S Raja Sekaran, YH Pang, LZ You, OS Yin - Plos one, 2024 - journals.plos.org
Recognising human activities using smart devices has led to countless inventions in various
domains like healthcare, security, sports, etc. Sensor-based human activity recognition …

MSTCN: A multiscale temporal convolutional network for user independent human activity recognition

SR Sekaran, YH Pang, GF Ling, OS Yin - F1000Research, 2022 - pmc.ncbi.nlm.nih.gov
Background: In recent years, human activity recognition (HAR) has been an active research
topic due to its widespread application in various fields such as healthcare, sports, patient …

Analysis Recognition of Ghost Pepper and Cili-Padi using Mask-RCNN and YOLO.

LL Yin, MN Zainudin, WH Saad… - Przeglad …, 2023 - search.ebscohost.com
Fruit harvesting robots have made headlines in the agricultural industry in recent years. A
fruit recognition system would assist farmers or agricultural industry practitioners in …

Human activity recognition for multi-label classification in smart homes using ensemble methods

JW Kasubi, MD Huchaiah - … and Sustainable Computing for Smart City …, 2021 - Springer
Abstract Human Activity Recognition (HAR) plays a vital role in recognizing human activities
in smart homes environment. HAR is a prominent research area of great significance due to …

Face authenticated hand gesture based human computer interaction for desktops

V Mukthineni, R Mukthineni, O Sharma… - Cybernetics and …, 2020 - sciendo.com
Hand gesture detection and recognition is a cutting-edge technology that is getting
progressively applicable in several applications, including the recent trends namely Virtual …

Transfer learning: classifying balanced and imbalanced fungus images using inceptionV3

MR Supriyadi, MR Alfin, AH Karisma… - Computer Science and …, 2024 - iaesprime.com
Identifying the genus of fungi is known to facilitate the discovery of new medicinal
compounds. Currently, the isolation and identification process is predominantly conducted in …

Application of Deep Learning Methods in Human Activity Recognition

K Baysari - 2022 - search.proquest.com
Traditional sensor-based human activity recognition (HAR) has been defined as a time-
series data classification problem and requires feature extraction. The current HAR systems …

[PDF][PDF] Improvement of transfer learning techniques in activity recognition

N Hernandez-Cruz - 2021 - pure.ulster.ac.uk
Activity recognition is a research area focused on identifying human actions from a collection
of sensor data. Often, solutions rely on design-time techniques that remain static after being …