Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: This disclosure is directed to a system for detecting when an individual performs a prohibited action during a cleaning event. A wearable computing device that is worn by an individual performing cleaning in an environment detects movement associated with the wearable device during a cleaning event. One or more processors determines, based at least in part on the movement associated with the wearable computing device detected during the cleaning event, whether the individual has performed a prohibited action during the cleaning event. Responsive to determining that the individual performed the prohibited action during the cleaning event, the one or more processors may perform an operation.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A wearable computing device may be used to track the efficacy of one or more cleaning actions performed. The device can include one or more sensors that detect and measure motion associated with a cleaning event. In different examples, the movement data generated by the device can be compared to reference movement data to determine if the individual has cleaned all the objects they were expected to clean and/or if the individual has cleaned a given object sufficiently well. As another example, the movement data generated by the device can be analyzed to distinguish cleaning and non-cleaning movement actions as well as to distinguish different types of cleaning actions during cleaning movement. The quality of each cleaning action can be evaluated. In any configuration, the device may perform an operation in response to determining that ineffective cleaning is being performed, causing corrected cleaning action to be performed.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the sensor system to determine whether the wearable device is being worn properly by the animal so that the resultant signal levels are of optimal quality.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the UWB system to accommodate differences in animals, such as scheduling or attempting transmissions between the wearable device and the data management server in such a way as to increase the likelihood of a successful transmission.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the UWB system to accommodate differences in animals.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the sensor system to determine whether the wearable device is being worn properly by the animal so that the resultant signal levels are of optimal quality.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the sensor system to accommodate differences in animals, including tracking vital signs over a period of time and comparing recorded values with an individual or species-based trendline. A deviation from the trendline may be signaled by alerting a user associated with the device about the deviation.

Abstract: A system and method for monitoring the health of an animal using multiple sensors is described. The wearable device may include one or more sensors whose resultant signal levels may be analyzed in the wearable device or uploaded to a data management server for additional analysis. One or more embodiments include variations of the UWB system to accommodate differences in animals.

Abstract: A communications protocol interface may be configured as being divisible into a core portion and an extensible portion. The extensible portion of the communications protocol interface may be further configured so that each network element can communicate a unique and optimally small subset of actual interoperable data that corresponds to at least a portion of a larger defined data set. A software generator program may be configured to generate a set of extensible source code that operates upon the subset of actual data and that directs the execution of the extensible portion of the communications protocol interface for a particular network element.

Abstract: A communications protocol interface is configured as being divisible into a core portion and an extensible portion. The extensible portion of the communications protocol interface is further configured to be customized in scope so that each network element can communicate a unique and optionally small, subset of actual interoperable data that corresponds to at least a portion of a larger defined data set. A software generator program is configured to generate a set of extensible source code that operates upon the subset of actual data and that directs the execution of the extensible portion of the communications protocol interface for a particular network element.

Abstract: A communications protocol interface may be configured as being divisible into a core portion and an extensible portion. The extensible portion of the communications protocol interface may be further configured so that each network element can communicate a unique and optimally small subset of actual interoperable data that corresponds to at least a portion of a larger defined data set. A software generator program may be configured to generate a set of extensible source code that operates upon the subset of actual data and that directs the execution of the extensible portion of the communications protocol interface for a particular network element.

Abstract: A method for monitoring kinetic motion includes: capturing acceleration data of a human body of interest from a plurality of points on the human body of interest; using the plurality of points that correlate to parts of the human body of interest to determine a position or view of the human body of interest, wherein the position or view includes a kinetic signature comprising motion characteristics; and displaying a live representation of the human body of interest by using the determined position or view of the human body of interest.