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BAPPU Physical Environment Measurement System

NegotiableUpdate on 05/07
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Overview

The BAPPU physical environment measurement system is a convenient multi index measurement device, mainly used for measuring and analyzing environmental data based on laboratory environments or real natural scenes, studying environmental changes such as lighting, noise, temperature and humidity, atmospheric pressure, and analyzing changes in human physiological, psychological, and behavioral characteristics.

Product Details


Product Introduction

BAPPU Physical Environment Measurement SystemIt is a convenient multi index measurement device mainly used for measuring and analyzing environmental data based on laboratory environments or real natural scenes, studying environmental changes such as lighting, noise, temperature and humidity, atmospheric pressure, and analyzing changes in human physiological, psychological, and behavioral characteristics.

Features
The system supports on-site research, is easy to carry, and is easy to operate.
The system supports real-time evaluation and visual feedback of environmental data.
Featuring a touchable color display screen and supporting USB data interface.
The system integrates a data logger that supports long-term recording.
The sturdy casing is suitable for all environments and accessory use.
Support synchronous collection and analysis of multimodal data, combined with human physiological data, behavioral data, eye movement data, biomechanical data, etc., to comprehensively evaluate the interrelationships between humans, machines, and the environment.
Synchronization scheme

BAPPU Physical Environment Measurement SystemThe ErgoLAB human-machine environment synchronization cloud platform can synchronously collect and comprehensively analyze multidimensional data from humans, machines, and environments, including eye tracking, physiological measurements, biomechanics, electroencephalography, brain imaging, behavior, human-computer interaction, action posture, facial expressions, subjective evaluation, spatiotemporal behavior, simulators, physical environments, etc., providing complete data indicators for scientific research and applications. The platform can complete a complete experimental and evaluation process, including project management - experimental design - synchronous acquisition - signal processing - data analysis - artificial intelligence application - visual reporting, supporting group testing based on cloud architecture technology and big data cloud management.