Sensors/​Data Acquisition

Many diseases are accompanied by characteristic odors, and their recognition can provide diagnostic clues, guide the laboratory evaluation, and affect the choice of immediate therapy. The study of the chemical composition in human breath using gas chromatography/mass spectrometry (GC/MS) has shown a correlation...

Radio-Frequency IDentification (RFID) is a technology that provides automatic identification of objects, and relies on storing and remotely retrieving data using devices called RFID tags or transponders. The RFID tag is an object that can be applied to and/or incorporated into a product, animal, or person for the...

For deep space communication systems, the decision of whether or not to suppress the transmitted carrier has always been an issue. For certain missions that use high data rates, the available bandwidth might be a limiting factor. In such cases, it is preferred to use a...

This software implements a new probabilistic framework for integrated multi-target detection and tracking of small moving objects in image sequences, with specific application to tracking people in aerial images, in which image stabilization is inherently noisy.

The Neo-Geography Toolkit (NGT) is a collection of open-source software tools for the automated processing of geospatial data, including images and maps. It can process raw raster data from remote sensing instruments and transform it into useful cartographic products such as visible image base maps, topographic models,...

This invention allows the verification and identification of a person based on features extracted from one or more electrocardiographic leads or channels. For identification purposes, the invention can be used to identify a subject from a group of known subjects. For...

This technology was developed for the Soil Moisture Active Passive (SMAP) mission and for the IRAD-FY13 Technology for Radiometer RFI Noise Detection & Mitigation Based on HHT2. Spacecraft beyond the present state-of-the-art passive radiometry will make use of natural...

Sensors on paper have been proposed and fabricated to identify gas or vapors (chemicals). Traditional sensors are based on hard substrates such as silicon. Sensors fabricated on paper are cheaper, foldable, flexible, and bio - degradable. Paper electronics is an emerging area. Logic devices, memory, RFID...

While NASA facilities already use huge volumes of hydrogen as a propellant/fuel, many other federal and state programs across the country are looking at potentially expanding the use of hydrogen. There are, however, significant challenges associated with hydrogen use. These include a tendency to...

During the development of parachute systems, it is desirable to size the lines correctly, and to pack and deploy the parachute in a manner that produces uniform loading among the lines. Analytical methods would greatly reduce the cost of development; however, test verification is essential. This is...

Motor position sensing is a critical application in a number of systems. Galvanically isolated sensors for motor position sensing are strongly favored in both industrial and extreme-environment applications. Two examples of these sensors are...

High-performance inertial sensors, such as ring laser gyroscopes or fiber optic gyroscopes, have sufficient performance to enable “dead reckoning” navigation for adequate periods of time. Smaller microelectromechanical system (MEMS) inertial sensors, such as MEMS gyroscopes and MEMS...

The proposed concept uses sensors to detect high-temperature plasma ingestion during entry through a breach in the thermal protection system (TPS) caused by a micrometeoroid orbital debris (MMOD) impact. It uses consumables usually available on human-rated spacecraft such as...

Currently, the only available means of reporting clear air turbulence (CAT) is the pilot report (PIREP), whereby a pilot experiencing turbulence reports their location and associated data. In this report, a system is proposed that would allow the detection of CAT through infrasonic...

There exist many datasets that can be viewed as multivariate time series, such as the daily high temperature at a locality, sensor recordings in diagnostic systems and scientific data, and music and video recordings. These time series reside in large...

A simple method of controlling recording and display of imaging spectrometer data in (airborne) flight was needed. Existing commercial packages were overly complicated, and sometimes difficult to operate in a bouncing plane. The software also was required to keep up with...

A series of scripts stitch together existing open-source Python modules for the purpose of displaying, cleaning, and measuring photometric properties within public Kepler data. The intent of these tools is to provide convenience to the Kepler science community, and to increase cost efficiency for the project....

This software provides the processing for a non-contact system that remotely estimates the heart rate and respiration rate of individuals as they carry on daily activities, and also enables detection of heart and respiration rate through walls.

Functional connections within the brain can be revealed through functional magnetic resonance imaging (fMRI), which shows simultaneous activations of blood flow in the brain during response tests. However, fMRI specialists currently do not have a tool for visualizing the complex data that comes from fMRI scans....

Viewpoints software allows interactive visualization of multi-variate data using a variety of standard techniques. The software is built exclusively from high-performance, cross-platform, open-source, standards-compliant languages, libraries, and components. The techniques included are: