Light Weight Human Activity Recognition using Raspberry PI IoT Edge and Reduced Features from Smartphones - Egyptian Knowledge Bank - troweb

316924

Light Weight Human Activity Recognition using Raspberry PI IoT Edge and Reduced Features from Smartphones

Article

Last updated: 04 Jan 2025

Overview Similar Items

Article

machine and deep learning approaches for human activity recognition

Article

HUMAN ACTIVITY RECOGNITION SYSTEM (HARS) USING HISTOGRAM OF NORMALIZED FOURIER DESCRIPTOR

Article

IoT power saving using data aggregation applied in footballer's heartbeat monitoring system

Article

Smart Health Monitoring System based on IoT and Cloud Computing

Article

Internet of Things (IoT) based smart device for cardiac patients monitoring using Blynk App

Article

Object Tracking Using Vision on Raspberry Pi

Article

Energy-Efficient AI Algorithms for Real-Time Health Monitoring in IoT Systems

Article

Heart Disease Detection using ML and ES (Smart Wearable Health Monitoring System)

Article

Building a Smartphone application to pair inertial sensors (Notch) for mechanical motion analysis

Article

HUMAN ACTIVITIES RECOGNITION USING SHAPE MOMENTS AND HISTOGRAM OF NORMALIZED DISTANCES “HND”