[HTML][HTML] Improving the performance and explainability of indoor human activity recognition in the internet of things environment
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 …
classification problem and requires feature extraction. The current indoor HAR systems still …
[PDF][PDF] Modified wild horse optimization with deep learning enabled symmetric human activity recognition model
Traditional indoor human activity recognition (HAR) is a timeseries data classification
problem and needs feature extraction. Presently, considerable attention has been given to …
problem and needs feature extraction. Presently, considerable attention has been given to …
Towards Intuitive 3D Interactions in Virtual Reality: A Deep Learning-Based Dual-Hand Gesture Recognition Approach
T Di Qi, FL Cibrian, M Raswan, T Kay… - IEEE …, 2024 - ieeexplore.ieee.org
Dual-hand gesture recognition is crucial for intuitive 3D interactions in virtual reality (VR),
allowing the user to interact with virtual objects naturally through gestures using both …
allowing the user to interact with virtual objects naturally through gestures using both …
A New Model for Assembly Task Recognition: A Case Study of Seru Production System
The Seru production system is an innovative assembly system that combines the flexibility of
shop floor production and the high efficiency of assembly lines. In addition to its advantages …
shop floor production and the high efficiency of assembly lines. In addition to its advantages …