Data Acquision System Beharum project Automated systems for monitoring behaviour of grazing ruminants
This channel is used for logging real-time sensor data from a smart insole system. It captures pressure data from four Force Sensitive Resistors (FSRs) and motion data from an MPU9250 accelerometer. The data is timestamped using the internal millis() func
This ThingSpeak channel collects and visualizes real-time step data from a MATLAB Mobile-based fitness tracker. The system uses an accelerometer to detect steps, compute step rate, and analyze movement patterns.
Here in this channel , we display the health related data that are measured by the sensors.
Visualize the data obtained from the built-in accelerometer and gyroscope of the Nano 33 IoT in both graphical and numerical form.
To detect the stability of land via the built-in accelerometer and gyroscope of Arduino Nano 33 IoT board.
Visualization of sensor data from phone and other channels as well
Uploaded sensor data from a phone. Created visualisation and analytics.
Biorhythm, Cardiac.. The e-Health Sensors allows users to perform biometric and medical applications where body monitoring is needed by using 10 different sensors: pulse, oxygen in blood (SPO2), airflow (breathing), bo, etc..
DEVELOPMENT OF LOW-COST REAL-TIME STRUCTURAL HEALTH MONITORING SYSTEM FOR BRIDGES IN NIGERIA. BRIDGE AND STRUCTURES DIVISION, ROAD RESEARCH DEPARTMENT. NIGERIAN BUILDING AND ROAD RESEARCH INSTITUTE (NBRRI).