01
Direct contact-point telemetry
Objective Driver Input
PRENSIA captures grip force, finger motion, and hand orientation directly from the steering interaction, replacing subjective assessment with measurable biomechanical data.
ObjectiveDriver Telemetryin Real Time
PRENSIA turns steering interaction into measurable biomechanical data for automotive R&D, driving simulators, and ADAS development teams.
§02 — Positioning
Built for the teams measuring the human behind the wheel.
The Solution
PRENSIA turns driver interaction into real-time biomechanical telemetry.
A wearable intelligence layer that captures grip force, finger motion, hand orientation, and physiological response directly from the steering interaction.
02
Physiological + motor response
Earlier Risk Signals
By synchronizing GSR stress response with grip and motion changes, PRENSIA helps reveal stress-to-motor latency before risk becomes visible in vehicle behavior.
03
One synchronized data layer
Human-Vehicle Timeline
PRENSIA aligns physiological response, grip force, finger motion, and IMU data on a shared timeline for ADAS, simulator, R&D, and driver performance teams.
S04 — Signal Engine
From raw driver signals to actionable telemetry.
PRENSIA captures grip force, finger motion, GSR response, and hand orientation, then converts them into synchronized driver intelligence for automotive teams.
01
Capture
Grip force, finger flexion, GSR response, and hand motion are captured directly from the steering interaction.
02
Synchronize
All sensor signals are aligned on one shared time axis to reveal how physiological response and motor action relate.
03
Interpret
PRENSIA calculates latency, grip asymmetry, motor tension, driver state, and biomechanical signature patterns.
04
Output
The processed driver-data layer is streamed to dashboards, driving simulators, ADAS workflows, and API/SDK integrations.
01
Capture
Grip force, finger flexion, GSR response, and hand motion are captured directly from the steering interaction.
02
Synchronize
All sensor signals are aligned on one shared time axis to reveal how physiological response and motor action relate.
03
Interpret
PRENSIA calculates latency, grip asymmetry, motor tension, driver state, and biomechanical signature patterns.
04
Output
The processed driver-data layer is streamed to dashboards, driving simulators, ADAS workflows, and API/SDK integrations.
S06 — Signal Readout
From contact signals to decision-ready telemetry.
prensia / session · 00:00:00.000
sync · active
CH01FSR / Grip Force
5.04N
NOMINALCH02FLEX / Finger Flexion
14.6°
NOMINALCH03GSR / Galvanic Response
0.65µS
NOMINALCH04IMU / Latency Δt
91ms
NOMINALCH01
5.04N
CH02
14.6°
CH03
0.65µS
CH04
91ms
Event stream
Driver State Analysis
CALM / STABLE
CONFIDENCE 80.0%
Arousal
░░░░░░░░░░0%
Motor Tension
░░░░░░░░░░0%
Cognitive Load
░░░░░░░░░░0%
Recovery
░░░░░░░░░░0%
Signals remain within baseline range. Grip force, GSR and latency are synchronized.
Driver State Analysis
CALM / STABLE
CONFIDENCE 80%
Arousal0%
░░░░░░
Motor Tension0%
░░░░░░
Cognitive Load0%
░░░░░░
Recovery0%
░░░░░░
Event stream
Signature vector[0.65, 14.6, 91, -0.01, 5.04] →
score 0.83
STATE: CALM / STABLE · CONF 0.80score 0.83
§07 — Deployment Questions
Built for automotive teams before production deployment.
What problem does PRENSIA solve for automotive teams?
PRENSIA gives R&D, simulator, ADAS, and driver-performance teams access to objective driver-response data that is normally missing from vehicle telemetry: grip force, finger motion, hand orientation, GSR response, and stress-to-motor latency.
Where does PRENSIA fit in our existing workflow?
PRENSIA can be used as a wearable telemetry layer during simulator sessions, proving-ground tests, driver training, ADAS research, and human-factor validation studies. It does not replace existing systems; it adds the missing driver-side signal layer.
Does PRENSIA require vehicle modification?
No major vehicle modification is required for initial deployment. PRENSIA captures contact-point biomechanical data from the driver and can later be synchronized with vehicle CAN data, simulator logs, or ADAS development pipelines.
What data can we export or integrate?
PRENSIA can provide structured telemetry such as grip force, finger flexion, GSR response, hand orientation, latency Δt, driver-state indicators, and session-level reports through dashboard views, CSV exports, API/SDK access, or custom enterprise integration.
How is this different from camera-based driver monitoring?
Camera-based systems observe visible behavior after it appears. PRENSIA measures contact-point and physiological signals directly from the steering interaction, helping teams analyze early driver load before it becomes visible in face, gaze, or vehicle behavior.
How would a pilot deployment work?
A pilot can start with a limited number of smart gloves, predefined driving scenarios, baseline driver sessions, and dashboard-based reporting. The goal is to validate signal quality, use-case fit, integration requirements, and measurable value before scaling.
Who owns the collected data?
In B2B deployments, data ownership, access rights, storage location, retention period, and export rules can be defined with the customer. PRENSIA can support anonymized driver profiles and session-based telemetry workflows.
Is PRENSIA a safety-certified production system?
PRENSIA is currently positioned as a telemetry, R&D, validation, and driver-intelligence layer. It is not presented as a certified vehicle safety system unless future certification and OEM-specific validation processes are completed.
§08 — Access
Measure the driver before the risk is visible.
PRENSIA turns grip, motion and stress response into objective telemetry for automotive R&D, simulator and ADAS teams.
or write directly to team@prensia.co