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Lab · PSight · Parked

Noticing before the person has to

Most wellness apps ask someone to notice they are struggling and then pick the right exercise. By the time a person notices, the easy window has often closed. PSight reads heart rate variability and EEG signals, works out whether the nervous system is over- or under-aroused, and suggests the kind of exercise that fits that state.

What is built

A closed loop

Signals in, a state out, and an exercise matched to that state — then the signals again, to see whether it helped. The loop is the point: a suggestion that cannot be measured afterwards is only a guess.

read · classify · suggest

Grounded in one theory

The states it distinguishes, and the exercises matched to them, follow Polyvagal Theory rather than a list assembled by taste. That makes the classifications arguable, which is the useful property.

Polyvagal

The prototype

Working, and parked on purpose. It is here as a record of an approach we would pick up again with a partner who works in regulation and wellbeing.

42,870 lines

What you can buy from it

A demonstration of the prototype, and a conversation about state-aware wellness and regulation tools for your own program. Start at a first conversation.