Abstract: Systems and methods for speech hearing screening are described. A method of speech hearing screening comprises receiving an input from a user to indicate a screening is beginning; playing a made-up word on an external speaker at a volume for the user; displaying a series of words to the user to match to the made-up word; and receiving a selection of one word of the series of words from the user. A system of speech-hearing screening comprises a tablet device; a computing node configured to perform a method comprising receiving an input from a user to indicate a screening is beginning; playing a first made-up word on an external speaker at a first volume for the user; displaying a first series of words to the user to match to the first made-up word; and receiving a selection of one word of the series of words from the user.

Abstract: A paper towel roll holder attachable to a galley wall or interior surface of a vehicle is disclosed. The paper towel roll holder includes a fixed carrier section mountable to the wall and terminating in a fixed support arm extending therefrom, the support arm including a circular or rounded boss capable of fitting into an inner cardboard sleeve of a paper towel roll of variable length. The paper towel roll holder includes a sleeve section terminating in an opposing support arm also including a rounded boss capable of fitting the inner sleeve. The sleeve section slides along the fixed carrier section to accommodate paper towel rolls of varying lengths.

Abstract: A paper towel roll holder attachable to a galley wall or interior surface of a vehicle is disclosed. The paper towel roll holder includes a fixed carrier section mountable to the wall and terminating in a fixed support arm extending therefrom, the support arm including a circular or rounded boss capable of fitting into an inner cardboard sleeve of a paper towel roll of variable length. The paper towel roll holder includes a sleeve section terminating in an opposing support arm also including a rounded boss capable of fitting the inner sleeve. The sleeve section slides along the fixed carrier section to accommodate paper towel rolls of varying lengths.

Abstract: Methods, systems, and apparatus for deriving a relationship between minimum ground clearance (MGC) and inertial sensor data. A regression model may be generated by collecting tri-axial angular velocity and acceleration data from inertial sensors and MGC data from optical motion capture systems during a walking trial. A linear, quadratic, interaction, stepwise interaction, or another regression model may be generated. The regression model may estimate the MGC as a function of one or more parameters measured by or derived from the inertial sensor data. The regression model may be used to calculate an estimate of the MGC based on inertial sensor data collected from one or more individuals.

Abstract: This invention relates to a data comparison tool, method and computer program product for analyzing a set of data, the set of data being derived from an original set of data, comprising: comparing the derived set of data with the original set of data; generating a hyperlink to represent each difference between the derived and original data set, each difference being a changed item, an additional item, or a missing data item; providing at least one agent that is activated on selection of the hyperlink to operate on the changed, additional or missing data item; whereby a list of hyperlinks is generated to represent all the differences of the derived and original data set and selecting one of the hyperlinks will execute an agent to operate on a single data item in one of the data sets. An editor agent is provided for allowing the user to confirm or make further changes to the data item.

Abstract: Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.

Abstract: In one embodiment, an apparatus can include a service broker configured to: (i) register a service classifier, and to provide context information to the service classifier; and (ii) register a plurality of service nodes. The service broker can also receive capability and service requests from the service classifier. Further, the context information can include a service header, a reachability indication, and an encapsulation, where the service header and the encapsulation may be attached or related to a packet in the service classifier. In addition, the service classifier can use this information to redirect the packet to a first service node.

Abstract: Methods, systems, and apparatus for quantifying an individual's frailty level based on inertial sensor data collected from the individual. The quantified frailty level may correspond to and approximate clinical metrics of frailty, such as the Fried frailty index. A linear regression model may be used to output the quantitative frailty value based on input parameters from the inertial sensor data. The linear regression model may be initially generated from the clinically-measured frailty index values of individuals and inertial sensor data collected from them. The inertial sensor data may be collected during, for example, a timed up and go (TUG) test. Two logistic regression models may be used to output a frailty class based on input parameters from the inertial sensor data. A first logistic regression model may distinguish between robust and frail individuals. A second logistic regression model may distinguish between robust and pre-frail individuals.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log an identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log an identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log and identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: Methods and systems may include a single gyroscope and gait logic to receive angular velocity data from the single gyroscope. The gait logic can also determine a stride length of an individual based on the angular velocity data. In one example, the gait logic integrates the angular velocity data to obtain angular displacement data and determines a stride length based at least in part on the angular displacement data.

Abstract: Methods and systems may provide for a plurality of kinematic sensors to be coupled to a corresponding plurality of shanks of an individual, a processor, and a memory to store a set of instructions. If executed by the processor, the instructions can cause the system to calculate a timed up and go (TUG) time segment based on angular velocity data from the plurality of kinematic sensors. The instructions may also cause the system to calculate a derived parameter based on the angular velocity data, and generate a falls risk assessment based on at least one of the TUG time segment and the derived parameter.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log and identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: This invention relates to a data comparison tool, method and computer program product for analysing a set of data, the set of data being derived from an original set of data, comprising: comparing the derived set of data with the original set of data; generating a hyperlink to represent each difference between the derived and original data set, each difference being a changed item, an additional item, or a missing data item; providing at least one agent that is activated on selection of the hyperlink to operate on the changed, additional or missing data item; whereby a list of hyperlinks is generated to represent all the differences of the derived and original data set and selecting one of the hyperlinks will execute an agent to operate on a single data item in one of the data sets. An editor agent is provided for allowing the user to confirm or make further changes to the data item.

Abstract: In one embodiment, an apparatus can include a service broker configured to: (i) register a service classifier, and to provide context information to the service classifier; and (ii) register a plurality of service nodes. The service broker can also receive capability and service requests from the service classifier. Further, the context information can include a service header, a reachability indication, and an encapsulation, where the service header and the encapsulation may be attached or related to a packet in the service classifier. In addition, the service classifier can use this information to redirect the packet to a first service node.