In this study, we present a wireless (non-contact) gesture recognition method using only incoherent light wave signals reflected from a human subject.
In this letter, a simplified path loss model that is mathematically more tractable is proposed for vehicular sensing and communication systems that use visible light technology.
The regular breathing patterns of each individual are unique, hence the respiration monitoring system needs to learn the subject's usual pattern in order to raise flags for breathing anomalies.
The prospect of mankind returning to the Moon has garnered a great amount of attention in recent years.
This work investigates the temporal dispersion of a wireless terahertz communication signal caused by reflection from a rough (diffuse) surface, and its subsequent impact on symbol error rate versus data rate.
A theoretical framework and numerical simulations quantifying the impact of atmospheric group velocity dispersion on wireless terahertz communication link error rate were developed based upon experimental work.
It is also intended to pique student interest by allowing them to personally assemble, operate, and explore a light-based wireless communication system.
In this paper, we demonstrate the ability to recognize hand gestures in a non-contact, wireless fashion using only incoherent light signals reflected from a human subject.
In parallel, visible light communication (VLC) has been proposed as an alternative solution, where a light source is used for both illumination and data transmission.
In this paper, millimeter wave (mmWave) wireless channel characteristics (Doppler spread and path loss modeling) for Unmanned Aerial Vehicles (UAVs) assisted communication is analyzed and studied by emulating the real UAV motion using a robotic arm.