YouTuber exposes himself to electric shocks for "auto-aim" in shooting games


A YouTuber has come up with a captivating yet dubious technique to enhance his reaction time in e-sports games: he allows a machine to take control of his muscles, compelling them to aim and shoot through electric shocks in order to reach superhuman speeds.

## The technology behind the agony

YouTuber and enthusiast Basically Homeless, who recently marked his 30th birthday, faced the truth that human reaction times tend to diminish with age. Rather than accepting this fate, he opted to tackle the issue with a bit of creativity.

His concept: **“Seize” the signals sent from the brain to the muscles and substitute them with quicker, computer-generated impulses.**

The configuration is intricate and comprises several elements:

– A PC utilizing AI image recognition software that identifies adversaries on the screen.
– A single-board computer (specifically, a Raspberry Pi) that processes the signals from the software and translates them into commands.
– A medical EMS (electrical muscle stimulation) device that delivers targeted electrical impulses to electrodes affixed to the player’s arm.

Once the AI spots an opponent, it assesses their location in relation to the crosshairs and transmits a command to the EMS device through the Raspberry Pi.

This initiates an electrical surge that makes the corresponding muscle in the player’s arm contract, guiding the mouse toward the target—all in a fraction of the time it would take the brain to accomplish.

**Editorial caution**

The experiment depicted in the video was conducted by an individual with extensive expertise in electronics and programming. We strongly discourage anyone from attempting to replicate this experiment.
Managing electrical current on your own body is exceedingly hazardous and can result in severe injury, burns, or even fatality.

**The telephone counseling service is anonymous, free of charge, and available around the clock at 0800 / 111 0 111 and 0800 / 111 0 222.**

## Between extraordinary reactions and a loss of control

The initial tests were encouraging but also problematic. The system attained response times of under 100 milliseconds, significantly below the human average of approximately 200 milliseconds and even under that of elite professionals (around 150 milliseconds).

**Nonetheless, the method had significant drawbacks:** The muscle contractions triggered by the electric shocks were imprecise and painful, leading to the crosshairs frequently missing the target. Moreover, technical issues such as high latency from the Raspberry Pi arose, which partially undermined the speed advantage.

**To address these challenges, the system was revamped**: A new graphics card (Nvidia GeForce RTX 4090) remedied the latency problems, and an AI specifically trained for Counter-Strike 2 learned to accurately differentiate between allies and enemies.

As if that weren’t sufficient, the YouTuber also engineered a “neuromuscular trigger bot” that activates the trigger finger with an electric shock the moment the crosshairs hover over an opponent’s head.

## A painful trial in online matchmaking

Believing that this does not constitute cheating, as it is his own muscles engaged in the action, he put his system to the test in public matchmaking in Counter-Strike 2. He describes the experience as “incredibly intense and akin to a constant jump scare,” since his arm could twitch uncontrollably at any moment.

In certain scenarios, the device functioned unexpectedly well, providing him with a noticeable advantage by reacting swifter to sudden opponents than he could manage on his own. Conversely, at other times, the system erroneously responded to teammates or benign objects. The YouTuber’s assessment is mixed: from a technological perspective, the concept shows promise in reducing reaction times to under 50 milliseconds with more accurate technology. However, according to the creator, it is entirely impractical for real-world use. The process is far too painful and unpredictable, thus he would not endorse it for everyday application.

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