openmedical/registry
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DataCollectionSystem

imported

software/datacollectionsystem

Code for a scalable data collection from multiple sensors (IMU, infrared camera, EMG, EEG, GSR, HRM, environmental sensors, eye tracker).

Machine-generated from the listed sources and not yet reviewed by a human.

DataCollectionSystem project image
GitHub preview card for smerdov/DataCollectionSystem. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
GPL-3.0(osi)
Status
dormant
Maturity
deployed
Organization
unknown
Country
unknown
Documentation
unknown
Tags
data-collection · eeg · emg · esports · esports-sensors · eye-tracking · gsr · human-computer-interaction · imu · league-of-legends · paper · pulse · sensor-data · sensor-data-collection · sensor-network · sensors · spo2
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • eSports_Sensors_Dataseteeg · emg · esports · esports-sensors · eye-tracking · gsr

    A dataset with 40+ hours of sensor data obtained from 10 players in League of Legends

  • Pysiologyemg · gsr

    A Python package for physyological's signals processing

  • low_density_eeg_asreeg · sensors

    sharing code and data for artifact removal in EEG

  • central-frontenddata-collection

    Vue.js based frontend for ODK Central

  • DReyeVReye-tracking · human-computer-interaction

    VR driving 🚙 + eye tracking 👀 simulator based on CARLA for driving interaction research

  • eye-tracker-setupeye-tracking · human-computer-interaction

    :eyes: Tobii Eye Tracker 4C Setup

sources
  1. api.github.com/repos/smerdov/DataCollectionSystem
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2020-11-22, 10 stars, license reported as GPL-3.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/16.json→ .entries["datacollectionsystem"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.