Hero Win Image
Winning team photo from MIT Hard Mode 2026.
A human augmentation tool that uses a Vision-Language Model and Electrical Muscle Stimulation (EMS) for AI-guided motor control.
Project Credit & Usage
Necessary Attribution
Human Operator by Peter He, Ashley Neall, Valdemar Danry, Daniel Kaijzer, Yutong Wu, and Sean Hardesty Lewis.
Descriptions
One line
Human Operator is a human augmentation tool that uses a Vision-Language Model and EMS for AI-guided motor control.
Short
Human Operator is a human augmentation tool that allows AI to briefly take control of your body to help you learn and do things you normally cannot do. It uses a Vision-Language Model for human motor control through Electrical Muscle Stimulation (EMS).
Long
Human Operator is a human augmentation tool that allows AI to briefly take control of your body to help you learn and do things you normally cannot do. To do this, it uses a Vision-Language Model for human motor control through Electrical Muscle Stimulation (EMS). Vision-based commands are generated via open-ended speech input through the Claude API to control finger and wrist stimulation for intuitive on-body interaction.
Downloads
Banner Image
Wide project banner image.
Horizontal Video
Primary horizontal demo video.
Vertical Video
Primary vertical demo video.
Closeup 1
Electrodes and hand rig detail.
Closeup 2
Another close shot of the setup.
Detail 1
Presenting the project at MIT.
Detail 2
Full hardware still.
Acknowledgments
Inspired by research and systems from the Human Computer Integration Lab at UChicago on neuromuscular interfaces and electrode placement optimization.
Safety
Human Operator is a prototype. It is not a medical device or a consumer product. EMS can be dangerous if misused and requires calibration, caution, and informed consent.