Building systems that detect and track humans using radio waves and electric fields — no cameras, no contact, no compromise on privacy.
Both projects solve the same class of problem from different angles — detecting and responding to human presence using electromagnetic fields, without any visual sensors.
Detects human presence and predicts room position in real time using only Wi-Fi radio waves from a single $4 ESP32 chip. Works through walls, in complete darkness — zero cameras, zero wearables.
Controls your cursor by reading the electromagnetic field disturbance of your hand hovering above a capacitive sensor array — no physical contact, no camera. Runs three inference backends including a CNN-BiLSTM deep learning model.
Both PRISM and AURA were built as independent research projects exploring how cheap commodity hardware can replace expensive, privacy-invasive sensing systems.
PRISM repurposes the Wi-Fi CSI data that every 802.11n router already broadcasts — using a single $4 ESP32 as a passive sniffer to build a room-scale radar. AURA repurposes a capacitive touchscreen controller as a hover-proximity sensor for gesture-based control.
Together, they represent a coherent research direction: electromagnetic sensing for human-computer interaction — building the foundation of a camera-free, contact-free computing paradigm.
Open to research collaborations, investment conversations, grant partnerships, and licensing discussions. If you're working in smart buildings, assistive tech, HCI, or IoT — let's talk.