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YouTuber’s Neuromuscular Aim Assist Achieves Sub-100 ms Speeds and Triggers Ban Concerns

The homemade system uses YOLO-based enemy detection to deliver painful electrical shocks that contract his arm muscles for faster aiming

Overview

  • Basically Homeless wired EMS/TENS electrodes to his arm and linked them to a YOLO-based enemy detector running on a Raspberry Pi to automatically move his crosshair.
  • Controlled tests cut his average reaction time from 201 ms to under 100 ms, though he recorded just seven out of 30 kills during extended aim‐training runs.
  • The electrical shocks cause notable discomfort and require frequent recalibration and rest periods to prevent potential injury.
  • He added a neuromuscular trigger bot by isolating his trigger-finger muscle to automate firing and insists the device isn’t traditional software cheating.
  • Publishers warn that external aim assistance could violate Counter-Strike 2’s terms of service and lead to bans despite no official enforcement to date.