Information Technology
                        Ultra-Efficient Continuous Monitoring of Sensors
                                            
                                        WARF: P130049US01
                    
                        Inventors: Mikko Lipasti, Atif Hashmi, Andrew Nere, Giulio Tononi                    
                    The Wisconsin Alumni Research Foundation (WARF) is seeking commercial partners interested in developing reconfigurable, event-driven hardware that continuously monitors data streams and invokes a primary processor only when triggered.
Overview
                    
                        Tracking emissions, sensing earthquakes and monitoring patient brain waves are just a few of the applications that rely on changing, real-world information. In typical systems, sensors pass on raw data streams that then are analyzed by a low-power general purpose processor or central processing unit (CPU). These processors look for preset trigger signatures that identify whether an event has occurred or not.
Analyzing raw data streams takes lots of energy. To save battery life, processors are designed for bursts of activity followed by sleep or idle modes. But this approach drains power when usage needs to be ongoing – such as checking electroencephalograph (EEG) activity. Special microcontrollers designed for continuous sensing still waste energy and compute resources. New tools need to maximize efficiency.
                                                            Analyzing raw data streams takes lots of energy. To save battery life, processors are designed for bursts of activity followed by sleep or idle modes. But this approach drains power when usage needs to be ongoing – such as checking electroencephalograph (EEG) activity. Special microcontrollers designed for continuous sensing still waste energy and compute resources. New tools need to maximize efficiency.
The Invention
                    
                        UW–Madison researchers have developed reconfigurable event-driven hardware that enables low-power continuous monitoring by offloading tasks from the primary processor.
The hardware interfaces with sensors and invokes the processor only when a trigger signature is detected. It can be implemented as a separate integrated chip or as a low-power compute resource within the primary processor.
                                                            The hardware interfaces with sensors and invokes the processor only when a trigger signature is detected. It can be implemented as a separate integrated chip or as a low-power compute resource within the primary processor.
Applications
                    - Continuous sensing hardware/software package
 - Healthcare, safety, environmental and military monitoring
 - Usage in mobile consumer devices
 
Key Benefits
                    - 1,000-fold energy reduction
 - Primary processor spends almost no power in sampling sensors.
 - Hardware can monitor any number of sensors and any kind of spatial/temporal trigger signatures.
 - Easy to train and reconfigure during runtime
 - Prolongs battery life
 
Additional Information
                                                
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                                                                For current licensing status, please contact Jeanine Burmania                        at [javascript protected email address]                        or 608-960-9846