Tensor Touch

Signal Intelligence Starts at the Edge

Signal Intelligence Starts at the Edge

The shift from low‑resolution, fixed‑firmware touch ICs to CogniSense’s Tensor-ΣΔ AFEs capture continuous touch physics, enabling software-defined interpretation beyond fixed firmware controllers. Resolution, noise immunity, scalability, and power efficiency enabling software‑defined touch go far beyond X,Y coordinates to interpret identity, intent, pressure, and biometrics.

Tensor‑ΣΔ For Automotive HMI

For transportation HMI, this means every surface – buttons, sliders, armrests, dashboards, steering interfaces, seat controls can share the same Tensor‑ΣΔ foundation. Automakers get consistent responsiveness, identical diagnostic behavior, and unified cybersecurity across all interaction points, from wrist‑scale controls to wall‑scale smart panels.

This extends naturally into the cockpit itself: force and pressure sensing can be embedded into seats, bolsters, armrests, and occupant‑touch surfaces, giving the vehicle a continuous, physics‑level understanding of posture, load, ingress/egress, and driver intent. The same Tensor‑ΣΔ fabric that powers fingertip‑scale controls scales cleanly to body‑scale interfaces.

What makes CogniSense Lab’s approach uniquely scalable is that the signal differentiation occurs at acquisition rather than in post-processing firmware, not in a stack of custom digital variants. The Tensor‑ΣΔ front end extracts clean, high‑fidelity analog information, and AI running behind the scenes performs the real interpretive work – understanding force, intent, motion, and context directly from the raw signal physics.

The result is an HMI system where the hardware stays simple, uniform, and manufacturable, while the intelligence grows in software. Inference models evolve while hardware acquisition remains constant.

  • Touch Screens

  • Touch Surfaces

  • Buttons & Knobs

  • Latches

  • Seat Pressure

Touch ICs That Support HMI Intelligence & Biometric Data

Enables higher-order classification such as user differentiation, gesture characterization, and behavioral pattern detection.

Where Every Touch And Input Device Gets a Lane

Tensor-ΣΔ + CDMAX Unlocks True Multi‑User Input

CDMAX enables collision‑free, multi‑user touch by reusing orthogonal codes across separated zones, creating a orthogonal code reuse enables simultaneous independent touch streams without frame-rate degradation. than the physical panel. This architecture preserves full frame rate regardless of user count and delivers scalable, high‑precision input that strengthens competitiveness in the rapidly growing IFPD market. Noise and water immunity are other key benefits to Tensor‑ΣΔ Touch.

Wrist-To-Wall Scalability

No need to design different MCUs for different markets → the orthogonal code reuse enables simultaneous independent touch streams without frame-rate degradation.

Tensor‑ΣΔ enables a single sensing architecture to scale from tiny wearables to full automotive surfaces by processing signals at the analog front end, preserving fidelity regardless of noise or wiring variability. This eliminates fragmented MCU designs and delivers uniform performance across applications of any size → input devices too.

What Tensor-ΣΔ Sensing + Host AI Enables