A new skin-like sensor developed by an international team led by researchers at Penn State could help doctors monitor vital ...

In April of that year, patients started appearing at hospitals in the industrial city of Sverdlovsk, now known as ...

In this paper, a parallel network based on hand detection and body pose estimation is proposed to detect and distinguish human's right and left hands. The network is employed for human–robot ...

Objective: To address the limitations of traditional methods in human pose recognition, such as occlusions, lighting variations, and motion continuity, particularly in complex dynamic environments for ...

Can humans accurately detect AI content on their own? Let's look into what the research says about how effective humans are at picking up which text is AI versus which text is human-written.

We present an effective real-time approach for automatically estimating 3D human body poses from monocular video sequences. In this approach, human body is automatically detected from video sequence, ...

In a new paper Sapiens: Foundation for Human Vision Models, a Meta research team introduces Sapiens, a suite of models designed to address four core human-centric vision tasks: 2D pose estimation, ...

Hyderabad: Amnesty International said Telangana govt’s Samagra Vedika poses a human rights risk as it used machine-learning technology to merge databases for detecting fraudulent and duplicate ...

This project focuses on Human Pose Estimation using the MoveNet model with TensorFlow Lite. The goal is to detect keypoint positions on a person's body in images and live video frames. The project ...

Since WiFi signals are one-dimensional, most existing techniques for WiFi person detection can only pinpoint a person’s center of mass and frequently can only detect one person. Three different ...