In this paper, we propose a beamforming method that can effectively decompose multi-
human vital signs. Each human target at the same distance from the radar is localized using …

Determining the count of individuals in a public space is helpful for video surveillance and
security applications. The existing system which uses the Wi-Fi CSI method to count the …

Improved energy efficiency and the associated cost savings is critical for environmental
stewardship. In heating, ventilation, and cooling (HVAC) systems, occupancy sensors play …

This study presents a novel radar-based people counting (PCnt) methodology empowered
by deep learning (DL) frameworks. The challenges we face include overfitting due to the …

The paper introduces a system that combines reconfigurable intelligent surfaces (RIS) with
ultra-wideband (UWB) technology for communication and localization. Although UWB has …

We propose a people counting system using Frequency Modulated Continuous Wave
(FMCW) radar signals. The proposed method predicts the number of people using deep …

This paper presents the results obtained from the comparison of techniques used to count
the number of people in a room in real time for use in smart office systems. Counting people …

Facial Expression Recognition became popular both in research and in industry. We'll
discuss the fascinating use of computer vision in this project. In the context of smart …

People counting is an important undertaking with many uses in areas including crowd
control, transit, and retail. The final purpose of this project is to create a system that uses …

Inertial Measurement Unit (IMU) and Ultra Wide Band (UWB) sensors were integrated to
collect heterogeneous data in a smart factory scenario. In this paper, various machine …