Gaze direction (where the user is looking)

Pupil dilation (indicating interest, stress, or light response)

Blink rate (for fatigue or attention detection)

Saccadic eye movements (rapid shifts in focus)

Fixation duration (time spent looking at specific points)

Heart rate (via photoplethysmography sensors)

Facial expressions (emotions like smile, frown)

Muscle movements (around eyes and face)

Skin temperature (body or facial temp)

Posture (head and upper body alignment)

Brain activity (via integrated EEG in advanced models)

Emotional state (inferred from combined biometrics like heart rate and expressions)

Head orientation and tilt

Acceleration and velocity (head movements)

Location (GPS coordinates)

Limb movements (hand and arm tracking via cameras)

Full body pose estimation (inferred via AI on visual feed)

Walking speed and steps (via IMU sensors)

Gesture recognition (hand gestures for input)

Ambient temperature

Ambient light levels

Air quality (particulates, if sensors present)

Sound levels (noise pollution)

Object detection (items in the user's view)

Spatial mapping (3D environment layout)

Audio and Voice Analysis

Voice patterns (tone, pitch, speed)

Speech content (transcribed words)

Ambient audio (surrounding conversations or sounds)

Behavioral and Interaction Data

App usage patterns (time spent on AR features)

Interaction with AR elements (touches, selections)

Attention levels (focus on tasks)

Fatigue indicators (combined from blink rate and posture)

Social interactions (facial recognition of people nearby)

Productivity metrics (focus time vs. distractions)

Health trends (stress levels from heart rate and pupil data)

Interest profiling (based on gaze at ads or objects)

Navigation habits (routes taken via location data)

Full speech-to-text transcript

Speaker ID & social graph mapping

Cough and sneeze signatures

Ad impression confirmation

Crowd Density

Blood oxygen, respiration rate, VO₂, blood glucose

Psychological profile, impulsivity, neuroticism, IQ

What new things will these systems be able to infer about us when they have this high resolution data for huge swaths of the population?

You will create enough data to fill libraries.

It will be the most high value data ever created. It will be used to train the robots that replace you. Used to predict and manipulate your behavior in subtle ways.

Lifetimes of labor will not be as valuable as the data you create.

They will pay you to wear them.

You'll be forced to wear them just to keep up.

And when they really want to stop you.

They'll turn them off.

https://xcancel.com/boneGPT/status/1952176753566171374