HUMAN PARTICIPANT COHORTS • IN-LAB EXPERIMENTS • HRI TRIALS

Enterprise-grade, ethically verified human cohorts for advanced AI modeling and in-lab experiments.

High-fidelity physical telemetry, biometrics, and human-in-the-loop environments backed by airtight legal compliance. Access a pre-screened pool of 2,000+ Indian participants (ages 20–50, 80:20 M/F ratio) with flexible client BYO-rig or turnkey Blue Projects sensor staging.

Book a Cohort Consultation → Review Compliance Framework ⚖️
9 SPECIALIZED CAPABILITY MODULES

Full-Spectrum Human-in-the-Loop AI Capabilities

Explore our 9 specialized categories featuring sub-millisecond telemetry sync, optical MoCap, in-cabin DMS, XR gaze tracking, and 3D Gaussian Splatting avatars:

👥 CATEGORY 01 • DEMOGRAPHIC COHORTS

AI Model Training Participants & Action Mapping

Sourcing demographic-matched human cohorts from a pre-screened pool of 2,000+ Indian participants (ages 20–50, 80:20 M/F ratio) for physical actions, gesture mapping, vision tasks, and voice data capture.

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🏗️ CATEGORY 02 • ON-DEMAND LAB STAGING

Custom Lab Environments & Scenario Simulation

On-demand physical lab staging, obstacle courses, and environmental lighting setups built to client specifications. Bring your proprietary hardware/software or leverage turnkey Blue Projects sensor staging.

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🏃 CATEGORY 03 • BIOMETRICS & KINEMATICS

Biometric Data Collection & Kinematics

Full-body optical motion capture (MoCap), facial micro-dynamics, 200Hz eye-tracking telemetry, EMG muscle biosensors, and 6 DoF skeletal kinematic streams.

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🤖 CATEGORY 04 • HRI & COLLABORATIVE ROBOTICS

Human-Robot Interaction (HRI) & Collaborative Trials

Human-collaborative robotics testing, spatial proximity safety reactions, tactile force-feedback telemetry, and ergonomic robotic hand-off experiments.

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CATEGORY 05 • MULTIMODAL SYNC

Sub-Millisecond Multimodal Sensor Telemetry Sync

Hardware PTP clock-synchronized streams across multi-angle RGB camera arrays, thermal/LiDAR sensors, studio microphone grids, and wearable biosensors.

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🧠 CATEGORY 06 • ERGONOMICS & COGNITION

Hardware Ergonomics, Cognitive Stress & Usability

Wearable hardware ergonomics, physical stress/fatigue evaluations, localized dialect acquisition, and human-in-the-loop usability benchmark studies.

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🚗 CATEGORY 07 • AUTOMOTIVE IN-CABIN DMS

In-Cabin Driver Monitoring System (DMS) & Occupant Safety

Capturing real human drivers and passengers inside vehicle cabs (or calibrated mockups) for fatigue detection, distraction monitoring, gaze tracking, and occupant classification.

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👓 CATEGORY 08 • WEARABLE & SPATIAL XR

Wearable AR/VR & Smart Device Telemetry Capture

Capturing synchronized physical movement, binocular eye-gaze vectors, spatial audio, and micro-gesture telemetry during head-mounted display (HMD) and smart ring interaction.

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👤 CATEGORY 09 • 3D AVATARS & GAUSSIAN SPLATTING

3D Human Photogrammetry & Gaussian Splatting Avatars

Multi-camera dome photogrammetry (30–100+ synchronized 4K cameras) for high-poly 3D human mesh scanning, 3D Gaussian Splatting radiance fields, and ARKit facial blendshape rigging.

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📊 Operational & Technical Complexity Matrix

How Blue Projects manages enterprise-scale human participant logistics, frame-accurate sensor calibration, and data security:

Operational Dimension Management & Quality Guarantee
Human Participant Logistics Pre-screened cohort database of 2,000+ Indian participants (ages 20–50, 80:20 M/F ratio). 98.4% attendance SLA, automated scheduling, demographic balancing, and transparent compensation.
Technical & Sensor Rigor Flexible staging model: clients can bring proprietary hardware/software OR leverage turnkey Blue Projects staging. Sub-millisecond PTP IEEE 1588 clock sync, 60fps 4K video, 200Hz gaze vectors.
Data Integrity & QA Automated SHA-256 checksums, real-time telemetry validation, encrypted S3/Azure sync, and automated PHI/face blurring pipelines.

PyTorch Telemetry & Multimodal Data Loader Schema

Python 3.10+
# PyTorch Multimodal Human Participant In-Lab Telemetry Loader
import torch

class InLabHumanCohortDataset(torch.utils.data.Dataset):
    def __init__(self, cohort_manifest_json):
        # Access 2,000+ Screened Indian Participants (Age 20-50, 80:20 M/F)
        pass
        
    def __getitem__(self, idx):
        return {
            "participant_id": "IND_COHORT_2042",
            "demographic": {"age": 28, "gender": "M", "l1_language": "Kannada"},
            "mocap_3d_joints": torch.zeros((100, 31, 3)), # 6 DoF Vicon MoCap
            "gaze_foveation_200hz": torch.zeros((200, 2)),
            "emg_telemetry": torch.zeros((100, 8))
        }

⚖️ Legal, Ethics & Compliance Safeguards

Built to satisfy the most stringent US, EU, and Indian enterprise legal audit requirements:

DPDP Act (India 2023) & GDPR
Full statutory compliance with India DPDP Act (2023) and EU GDPR Art 6/9 with biometric informed consent protocols.
Subject Rights & Anonymization
Automated face/voice/PHI blurring, subject identity encryption, and transparent post-session withdrawal protocols.
Model Weight Protection Safeguard
Statutory legal guarantee ensuring trained AI model weights are 100% immune from subject data deletion claims once anonymized.
REQUEST A COHORT CONSULTATION

Configure Your Human Participant Experiment

Select your required categories, cohort size, and staging model. Our engineering team responds within 24 hours.