Abstract: This paper presents a novel approach for person fall detection that integrates Generative Adversarial Networks (GANs) with a CNN-based fall detection model to enhance accuracy and robustness ...

Abstract: Falls are a leading health risk for the elderly, highlighting the need for accurate and unobtrusive monitoring systems. Traditional camera-based approaches often raise privacy concerns, ...