Sensory Input Baseline
A neutral starting point across four sensory channels.
- 4: Channels modeled (sound, light, touch, texture)
- 1.0x: Baseline amplitude (neutral reference level)
- Mid-range: Processing type (neither hyper nor hypo)
- Low: Overload risk (at neutral baseline)
Multi-channel sensory signal
Each channel oscillates independently at its own baseline frequency.
Hypersensitivity Amplification
Sliding toward hyper amplifies every incoming sensory wave.
- 2.6x: Amplification cap (at maximum hypersensitivity)
- Noise, light: Common triggers (short placeholder example list)
- Fast: Onset speed (rapid perceived intensity rise)
- Overload: Risk direction (toward sensory overwhelm)
Amplification filter behavior
A gain filter stretches wave amplitude proportional to sensitivity.
Hyposensitivity Dampening
Sliding toward hypo flattens sensory signals below baseline.
- 0.25x: Dampening floor (at maximum hyposensitivity)
- Seeking input: Common behaviors (short placeholder example list)
- Slow: Detection delay (reduced perceived signal strength)
- Under-response: Risk direction (toward missed sensory cues)
Dampening filter behavior
A low-gain filter compresses wave amplitude toward flatness.
Sensory Overload Threshold
Combined channel magnitude is checked against a fixed limit.
- Fixed: Threshold line (constant overload reference value)
- Dysregulation: Crossing effect (short placeholder consequence label)
- All 4 channels: Contributing factor (summed signal magnitude)
- Strategy slider: Mitigation lever (reduces net magnitude)
Threshold comparison logic
Overload risk rises once combined amplitude passes the line.
Integration Strategy Application
Sensory tools are layered in to regulate signal intensity.
- Proprioceptive: Weighted blanket (deep pressure input strategy)
- Auditory: Noise-cancelling headphones (sound dampening strategy)
- Tactile: Fidget tool (self-regulation output strategy)
- ~100%: Max effectiveness (at full strategy intensity)
Strategy effect on signal
Each tool reduces amplitude and pulls regulation back toward stable.
Strategy intensity scales down overload risk in real time.