We present approaches for gesture classification and gesture segmentation by using machine learning on the Kinect sensor's data stream. Our work involved three phases. Firstly we developed gesture ...

This study presents a non-invasive approach to detect anxiety and depression through gait analysis and machine learning, ...

A graphene sensor trained by machine learning can now taste like a human, identifying both basic and complex flavors with ...

Soft sensors, also known as virtual sensors, are software that can process hundreds of measurements in combination. Plant managers who want to add soft sensors may be overwhelmed by the scope of ...

AirPollutionPrediction--Using--Machine-Learning Certainly! Here's a detailed description: This Python script integrates sensor data with quality control metrics to predict air quality using machine ...

Machine Learning-Based Physical Activity Recognition Using Wearable Sensor Data Project Overview This project focuses on the classification of physical activities using data collected from wearable ...

A new fabric-based touch sensor used machine learning to control mobile apps, video games and other devices while integrated into clothing.

Dataops have the opportunity to use AI and machine learning to shift their primary responsibilities from data cleansing and pipeline fixing to providing value-added services such as data enrichment.