🧩 Autism Sensory Processing Simulator

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.