Embedded engineering
Separate cognitive-input, mobility, and telemetry controllers with explicit responsibilities.
ASSISTIVE MOBILITY · IN DEVELOPMENT
Cognitive
Mobility Platform.
An assistive-mobility engineering project combining biosignal input, local controllers, and an observation layer.
Intent and authority.
Kept separate.
CMP explores cognitive input for a powered wheelchair while separating movement requests from motor control.
An Arduino UNO R4 processes eye and jaw signals into mobility intent. An UNO R3 holds motor authority. An ESP32 provides telemetry and local safety supervision.
The architecture keeps motor-related safety decisions local. The backend, Firebase, and Android companion application observe telemetry rather than control the wheelchair.
Observation layer
A Node.js/TypeScript backend and Kotlin/Jetpack Compose application for telemetry and history.
Validation boundaries
Software testing and code review are distinct from physical hardware validation.
CURRENT SCOPE
Development with validation ahead.
The documentation identifies outstanding formal physical safety validation and incomplete hardware documentation. The Android application has not been validated with wheelchair hardware end-to-end. The direct ESP32-to-Firebase publisher is disabled by default and has not been compiled, flashed, or network-tested.
This is an engineering project presentation, not a claim of clinical readiness, certification, or proven physical safety.
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