Enterprise AI Analysis
Unlocking Real-Time Wi-Fi Sensing for Range-Doppler Applications
LiveSense transforms commercial Wi-Fi devices into high-precision, real-time Range-Doppler sensors, enabling advanced presence detection, gesture recognition, and activity monitoring directly from COTS laptops.
Key Capabilities & Impact
Discover the breakthrough performance and versatility of LiveSense in enhancing device-free sensing with existing Wi-Fi infrastructure.
~1cm
Range Accuracy
≥40Hz
Sensing Rate
>25dB
SNR Gain
1
Device Required
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
LiveSense pioneers the transformation of commercial off-the-shelf (COTS) Wi-Fi Network Interface Cards (NICs) on laptops into sophisticated, centimeter-level Range-Doppler sensors. This is achieved while maintaining simultaneous communication, eliminating the need for dedicated hardware or extensive external calibration.
The system leverages COTS Intel AX211 (Wi-Fi 6E) or Intel BE201 (Wi-Fi 7) NICs, extracting fully synchronized Channel State Information (CSI) at ≥ 40 Hz and performing on-device time-phase alignment and self-interference cancellation. This capability underpins various applications from presence detection to fine-grained gesture recognition.
Monostatic
Sensing Topology
LiveSense operates monostatically on a single laptop, overcoming the limitations of environment-specific calibration common in bistatic systems.
The core innovation lies in a robust signal processing pipeline designed to overcome the challenges of using standard Wi-Fi hardware for radar-like operations. This includes handling hardware asynchronization and strong self-interference.
Enterprise Process Flow
CSI Cross-Correlation
→
Per-Frame Phase Unwrapping & Correction
→
Adaptive Self-Interference Cancellation
→
2-D FFT/DFT (Range-Doppler)
→
Detection & Post-Processing
→
Real-Time Output / Streaming
This pipeline allows LiveSense to process CSI in real time, delivering centimetre-level range and Doppler estimation. It also incorporates active packet injection to maintain a stable sensing sampling rate of ≥ 40 Hz, crucial for consistent performance.
LiveSense offers significant advantages over traditional bistatic Wi-Fi sensing systems, as summarized below. Its monostatic operation, combined with high SNR gain and stable sensing rates, sets a new standard for Wi-Fi-based radar.
| Feature | Standard Bistatic Sensing | LiveSense (Proposed) |
|---|---|---|
| Topology | 2+ Devices (Tx & Rx separated) |
|
| Sensing Metric | Doppler (Velocity) dominant |
|
| Interference | Susceptible to env. noise |
|
| Calibration | Environment-specific training |
|
| Coexistence | Often drops packets/rates |
|
| Tracking | Single target focus |
|
| Deployability | Controlled setup required |
|
By leveraging 160 MHz bandwidth, the system achieves a processing gain of > 25 dB, significantly improving SNR against interference. Validated across multiple device SKUs and environments, LiveSense maintains a median range error of < 5 cm for hand gestures and < 20 cm for whole-body motion.
160MHz
Wi-Fi Bandwidth Utilized
This wide bandwidth is critical for achieving high range resolution and SNR, enabling centimeter-level accuracy.
LiveSense offers a wide array of practical applications in smart environments, extended reality (XR), and beyond. Its real-time capabilities enable dynamic interaction and monitoring.
Real-Time Multi-Target Tracking in Crowded Environments
In a busy cafe scenario, LiveSense successfully demonstrated its robustness by distinguishing two distinct targets: a stationary user performing gestures at 0.2m and a second target walking at 1m behind the device. This was achieved despite heavy background Wi-Fi traffic and environmental interference, showcasing the system's ability to handle complex, real-world deployments.
This capability is crucial for applications requiring accurate monitoring of multiple individuals or objects in dynamic settings without performance degradation.
During demonstrations, attendees can interact directly with the platform to experience presence detection, micro-motion (e.g., breathing) sensing, and sub-decimetre hand-gesture ranging. The system continuously tracks and displays live estimates of distance and radial velocity, proving its versatility and precision.
Calculate Your Potential AI Impact
Estimate the operational savings and reclaimed hours by integrating advanced AI solutions like LiveSense into your enterprise workflows.
Estimated Annual Savings
$0
Annual Hours Reclaimed
0
Your LiveSense Implementation Roadmap
A typical phased approach to integrating LiveSense into your existing infrastructure, ensuring a smooth transition and rapid value realization.
Phase 01: Initial Consultation & Needs Assessment
Our experts engage to understand your specific sensing requirements, current infrastructure, and define the optimal LiveSense configuration for your use cases (e.g., presence, gesture, vital signs).
Phase 02: Pilot Deployment & Customization
Deployment of LiveSense on a pilot COTS laptop, fine-tuning of parameters for your environment, and initial validation of range-Doppler accuracy and real-time performance against key metrics.
Phase 03: Integration & Scalability Planning
Integrate LiveSense outputs with your existing applications (e.g., smart home, security systems, XR) and develop a strategy for scaling across multiple devices or locations as needed.
Phase 04: Training & Ongoing Support
Comprehensive training for your team on operating and managing the LiveSense platform, coupled with continuous support to ensure sustained performance and future enhancements.
Ready to Transform Your Wi-Fi Devices?
Connect with our sensing experts to explore how LiveSense can unlock new capabilities for device-free interaction and monitoring in your enterprise.
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