Using machine learning to alert the person of their bad habits, tics, repetitive movements, etc. A system that annoys the person with alerts or even mild electric shocks until they stop the habit.
Become aware of the annoying/damaging things you do subconsciously.
The alert system never gets tired. Stopping the bad habit is the only way to stop it from annoying you.
One bad habit is often replaced by another. The system's flexibility keeps the focus on the person's need for "something". Maybe the root cause can be uncovered/addressed after a while.
Cover your home with high-quality cameras that are connected to an AI-powered pattern recognition system.
First, gather a lot of video footage. While reviewing it, mark the frames and highlight the section that shows the habit you are trying to stop. For example, nail-biting is shown in the header image.
Give the system plenty of examples to learn from. Do this enough and the ML algorithm should be able to identify the pattern without a human pointing it out.
This system should be able to work with any habit that is visible on camera. Even tics or annoying repetitive movements that people are trying to stop (touching your face or hair all the time, etc).
Whenever the system detects an undesirable habit/movement the person gets alerted in any of the prefered ways:
Have a voice come on via bult in speakers: "Are you biting your nails again?" or "You've gone 2 minutes, 24 seconds without biting your nails. Congratulations, you are doing better." Spice it up a bit. Use humor.
Vibrate the person's phone (triggered via an app that runs in the background).
Unobtrusive notification sound - just audible enough to keep the person aware of their actions.
Electric jolt notifications. If you want fast results, wear an electric shocker that gives you a slight jolt as soon as the system detects you giving into the bad habit.