Smartphone sensor-based human activity recognition (SSHAR) generally deals with three main steps: 1) raw signal collection; 2) feature extraction; and 3) human activity classification. This study ...

This project demonstrates Binary Image Classification using CNNs with TensorFlow/Keras. It includes preprocessing, data augmentation, model training, and evaluation with accuracy, precision, recall, ...

This study aimed to extract objective metrics of physical activity volume and sleep duration from accelerometer data while exploring their relationship after adjusting for confounding variables, ...

Use patent analytics to identify hybrid innovation zones, industries or processes where human judgment and machine intelligence converge, such as legal tech, mental health diagnostics or luxury ...

Advancements in machine learning (ML) have facilitated the prediction of key aspects of human locomotion, particularly in identifying subject gait trajectories essential for recognizing neurological ...