rPPG as a shared research technology.
We are investigating camera-based pulse estimation and methods for assessing fatigue. We test the measurements, document their limits, and examine where the research could support practical applications.
Network for Research Intelligence Exchange
Fatigue research.
Real applications.
N4RIX researches remote photoplethysmography (rPPG), physiological signals and methods for assessing fatigue from camera video. Our first product under development applies this work to online learning. We are also studying where the same technology may be useful in other settings.
Core researchrPPG and camera-based pulse estimation
Fatigue assessmentModel development and validation
First productOnline learning and virtual classes
Research demoAlertis operator fatigue at fatigue.n4rix.com
01 / Our mission
Researching fatigue
without contact.
N4RIX studies whether physiological signals estimated from ordinary camera video can contribute to fatigue research. The work begins with remote photoplethysmography, signal quality, and the evaluation of prediction models.
Discover the research background ↗
Research context
Online learning comes first
Our first product project combines classroom tools with optional, consent-based physiological research during online sessions.
Beyond education
Other settings to investigate
Possible research directions include operator fatigue monitoring and, over a longer period, medically supervised telehealth applications. Neither is a released product; an operator fatigue demo, Alertis, is available for research use.
N4RIX is a research platform. Our fatigue models and physiological measurements require further evaluation for each intended use. Current prototypes are not medical devices, and results must not be used to make safety-critical or clinical decisions.
02 / Research direction
From camera signals
to fatigue research.
The core research examines how rPPG signals are acquired, how reliable pulse-derived measurements can be obtained, and whether those measurements support fatigue prediction. Fatigue and engagement are separate outcomes and require separate evidence.
Camera-based acquisition
Study face-region tracking, acquisition conditions, and signal quality using ordinary cameras with participant permission.
Pulse and variability measures
Estimate pulse signals and examine HR and pulse-rate variability measures, including RMSSD, SDNN, and spectral features when recording quality and duration allow.
Fatigue model evaluation
Train and test fatigue models against appropriate reference labels. Investigate performance across people, devices, lighting, and movement.
Research protections
Use clear consent, secure data handling, reproducible evaluation, and careful limits on how experimental findings are presented.
03 / Explore the lab
Selected research
prototypes.
The rPPG Simulator is hosted on Hugging Face, the Evaluator on evaluator.n4rix.com and the Alertis demo on fatigue.n4rix.com. Availability and functionality may change as the research continues.
rPPG Simulator
Experimental remote physiological-signal exploration.
Explore prototype ↗Evaluator
Human validation study: webcam heart rate checked against a chest strap, with consent on screen. For enrolled participants and the research team.
Open the study ↗Alertis
Operator fatigue demo. The pulse model runs on the operator's own PC; supervisors see a fatigue state only.
Try the demo ↗04 / Potential applications
One research base.
Different settings.
Our core work is not limited to virtual classrooms. Each proposed use has different technical, scientific and legal requirements. Online learning is the first product under development.
Online learning
Support virtual-classroom research with optional physiological measurements. We are developing the first N4RIX applications for this area.
Operator fatigue
Explore whether contactless signals may contribute to fatigue research in operational settings. The Alertis demo shows the idea. Any workplace use will need separate validation, safeguards and clear participation rules.
Telehealth
Investigate possible remote physiological measurement for clinician-supported care if future evidence supports it. Clinical studies and applicable medical-device approvals would be required before clinical use.
N4RIX Pulse
Develop a reusable rPPG analysis base so future products can be assessed without rebuilding the signal-processing method for every application.
05 / First product in development
Our first product:
online learning.
Education is the first field where we are bringing the N4RIX platform components together. The planned system combines school registration, courses, scheduling, online classes and an optional research module. All listed products are still being developed.
N4RIX / 01
Hub
School and institution registration, account administration and access to connected products.
N4RIX / 02
Learn
Moodle-linked courses, schedules and meeting access for teachers and students.
N4RIX / 03
Live
Virtual classrooms built on a customized BigBlueButton installation.
N4RIX / 04
Connect
Chrome extension for Google Meet with account linking and optional research functions.
N4RIX / 05
Pulse
Our reusable rPPG and fatigue research technology, designed to be evaluated across different application settings.
N4RIX / 06
Insights
Planned reports that distinguish classroom activity from experimental physiological research results.
06 / How we work
From research
to software.
We develop and evaluate the underlying research methods, then test them through specific applications. The first integration project connects school accounts, learning management, meetings, and optional rPPG research.
STEP 01
Research and testing
Document methods, test performance and report limitations.
STEP 02
Test with partners
Gather requirements and test prototypes with educators and research partners.
STEP 03
Integrate the applications
Connect registration, Moodle courses and meeting links through common services.
STEP 04
Prepare for deployment
Test security, accessibility, compatibility and deployment procedures.
07 / Research principles
Research needs
reliable evidence.
Contactless measurements and AI predictions are not substitutes for human understanding. The platform will need clear consent processes, access controls and data-retention rules.
Consent and choice
Participation in physiological research should be appropriately authorized, informed and voluntary.
Evidence before claims
Experimental fatigue predictions require validation and clear communication of uncertainty.
Participant data
Where feasible, process camera signals on the participant’s device and restrict access to research records.
08 / Collaboration
Contact
our team.
Interested in rPPG, fatigue research, academic collaboration or piloting our first online-learning product? Contact us to discuss possible work together.