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HandPad

A new human-computer interaction model that turns the sides of your fingers into a continuous touch interface — enabling precise control without holding a device and without relying on cameras.
Think: a trackpad built into your hand.

The problem

Spatial input today often depends on camera-visible gestures or controllers. That leads to fatigue, lower precision for continuous control, and awkward social signaling.

  • Line-of-sight requirements (hands must be visible)
  • Mid-air fatigue over longer sessions
  • Lower precision for scrolling, scrubbing, sliders, and fine control
  • Social visibility (obvious gestures in public or meetings)
What’s missing: a private, tactile, muscle-memory input layer — the spatial equivalent of a trackpad.

The insight

Your hands already have high tactile sensitivity and dexterity — but most interfaces ignore the lateral (side) surfaces of the fingers.

Handpad uses that unused surface area as the control plane.

How it works (concept)

  • Touch zones along the sides of fingers act as continuous controls
  • Gestures map to core actions (tap, swipe, hold, chord)
  • Designed for a natural resting-hand posture

What it enables

Handpad supports a compact gesture grammar that scales from 2D control to spatial control.

Traditional spatial input Handpad
Camera-dependent, line-of-sight required Touch-based, works without line-of-sight
Visible gestures; socially “loud” Subtle and private interaction
Less precise for continuous control Continuous tactile control for scrolling/scrubbing/sliders
Fatigue over time Resting posture; reduced fatigue
Where it applies: spatial computing and AR/MR, accessibility, discreet wearable input, and future form factors — as a platform-level interaction primitive that complements gaze and voice.
Canonical explainer for the Handpad interaction model handpad.io