Abstract: A system of fabric-based devices designed as transistors with tri-state behavior that can measure any geometries on 2D and 3D surfaces. The devices are constructed from layers of conductive materials and flexible sheets that allow signals to selectively cross between layers. Multiple layers of conductive signals can be achieved by controlling the tension of the top and bottom thread, and interlayering conductive, semiconductive, insulating, and semi-porous materials around a sensing layer. The layers can be further modified to include folds and cuts that allow for 2D and 3D bending, stretching, twisting, and curves. Large sheets of devices can be organized into grid-like matrixes, with signal wires connected in a multiplexed fashion to minimize the amount of threads to simplify construction and device communication to a central processing unit.

Abstract: A system of fabric-based devices designed as transistors with tri-state behavior that can measure any geometries on 2D and 3D surfaces. The devices are constructed from layers of conductive materials and flexible sheets that allow signals to selectively cross between layers. Multiple layers of conductive signals can be achieved by controlling the tension of the top and bottom thread, and interlayering conductive, semiconductive, insulating, and semi-porous materials around a sensing layer. The layers can be further modified to include folds and cuts that allow for 2D and 3D bending, stretching, twisting, and curves. Large sheets of devices can be organized into grid-like matrixes, with signal wires connected in a multiplexed fashion to minimize the amount of threads to simplify construction and device communication to a central processing unit.

Abstract: A system of fibers, filaments, and/or other electrically conductive materials forms an electrically conductive-to-semi-conductive yarn that can be assembled into a textile for measurement of voltage, current, resistance, capacitance, inductance, RF, and/or EM signals. Textiles are formed through weaving, knitting, lacing, and/or non-woven mechanical methods of yarn-making into 2D/3D structures. Textile-based electrodes can be formed via folding, cutting, layering, sewing, and/or embroidering patterns to control signal transmission within/through the electrode. Multiple electrodes are positioned on a surface (e.g., a body) to sequentially or simultaneously perform multiple diagnostic modalities (e.g., electrocardiography, electromyography, electrooculography, electroencephalogram, bioelectrical impedance analysis, skin impedance analysis, and/or electrodermal activity).

Abstract: A system of fabric-based devices designed as transistors with tri-state behavior that can measure any geometries on 2D and 3D surfaces. The devices are constructed from layers of conductive materials and flexible sheets that allow signals to selectively cross between layers. Multiple layers of conductive signals can be achieved by controlling the tension of the top and bottom thread, and interlayering conductive, semiconductive, insulating, and semi-porous materials around a sensing layer. The layers can be further modified to include folds and cuts that allow for 2D and 3D bending, stretching, twisting, and curves. Large sheets of devices can be organized into grid-like matrixes, with signal wires connected in a multiplexed fashion to minimize the amount of threads to simplify construction and device communication to a central processing unit.

Abstract: A system of fabric-based devices designed as transistors with tri-state behavior that can measure any geometries on 2D and 3D surfaces. The devices are constructed from layers of conductive materials and flexible sheets that allow signals to selectively cross between layers. Multiple layers of conductive signals can be achieved by controlling the tension of the top and bottom thread, and interlayering conductive, semiconductive, insulating, and semi-porous materials around a sensing layer. The layers can be further modified to include folds and cuts that allow for 2D and 3D bending, stretching, twisting, and curves. Large sheets of devices can be organized into grid-like matrixes, with signal wires connected in a multiplexed fashion to minimize the amount of threads to simplify construction and device communication to a central processing unit.

Abstract: Techniques for obtaining data from unstructured data for a structured data collection include receiving unstructured data that includes text; identifying an attribute associated with a structured data collection; obtaining at least one of historical data associated with the attribute or additional data associated with a user of the computing system; identifying one or more terms from the unstructured data as being associated with the attribute based on at least one of the historical data or the additional data; and storing the identified one or more terms in a data record of the unstructured data collection.

Abstract: Techniques for processing semi-structured data include receiving semi-structured data, a value of the semi-structured data being associated with a key; identifying a structured data collection, the structured data collection being associated with a category and having a plurality of attributes; obtaining at least one of historical data associated with the plurality of attributes or additional data associated with a user of the computing system; mapping the key to an attribute of the plurality of attributes based on at least one of the historical data or the additional data; and storing the value in a cell of a data record of the structured data collection, the cell being associated with the attribute that was mapped to the key.

Abstract: Techniques for disambiguating data using contextual and historical information include determining that data is potentially associated with two or more classifications of a plurality of classifications; obtaining contextual information associated with the data; obtaining historical information associated with a user of the computing system; and determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.

Abstract: Techniques for disambiguating data using contextual and historical information include determining that data is potentially associated with two or more classifications of a plurality of classifications; obtaining contextual information associated with the data; obtaining historical information associated with a user of the computing system; and determining that the data is more likely associated with one classification of the two or more classifications than other classifications of the two or more classifications based on the contextual information and the historical information.

Abstract: Techniques for obtaining data from unstructured data for a structured data collection include receiving unstructured data that includes text; identifying an attribute associated with a structured data collection; obtaining at least one of historical data associated with the attribute or additional data associated with a user of the computing system; identifying one or more terms from the unstructured data as being associated with the attribute based on at least one of the historical data or the additional data; and storing the identified one or more terms in a data record of the unstructured data collection.

Abstract: Techniques for processing semi-structured data include receiving semi-structured data, a value of the semi-structured data being associated with a key; identifying a structured data collection, the structured data collection being associated with a category and having a plurality of attributes; obtaining at least one of historical data associated with the plurality of attributes or additional data associated with a user of the computing system; mapping the key to an attribute of the plurality of attributes based on at least one of the historical data or the additional data; and storing the value in a cell of a data record of the structured data collection, the cell being associated with the attribute that was mapped to the key.