Abstract: Systems and methods for providing algorithmic training and service recommendations are disclosed herein. In one embodiment, a method for treating a fatigue or an injury of an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing a treatment recommendation to the athlete.

Abstract: Measuring muscle load in athletic activities, and associated systems and methods are described herein. In an embodiment, a method for monitoring muscle load of an athlete includes: determining a muscle effort (ME) of the athlete by a wearable electromyography (EMG) sensor, and determining at least one inertial measurement unit (IMU) output of the athlete. The method further includes comparing the ME and the IMU output of the athlete, and, based on comparing, determining a performance of the athlete.

Abstract: Systems and methods for providing algorithmic equipment and/or accessory recommendations are disclosed herein. In one embodiment, a method providing an equipment or accessory recommendation to an athlete includes: monitoring a first amplitude of a first muscle of the athlete by a first wearable muscle response sensor carried by the athlete; monitoring a second amplitude of a second muscle of the athlete by a second wearable muscle response sensor carried by the athlete; determining a difference between the first amplitude and the second amplitude; comparing the difference to a predetermined amplitude threshold; and based on the comparing, providing an equipment or accessory recommendation to the athlete.

Abstract: Systems and methods for tracking performance are provided. A method includes monitoring a first amplitude of a first muscle activity for a plurality of time. The method includes generating a plurality of measures of neuromuscular work for the plurality of time points using the first amplitude. The method includes determining a plurality of muscle activation quotients for the plurality of time points, using the plurality of measures of neuromuscular work. The method includes defining a plurality of muscle activation zones using the plurality of muscle activation quotients, wherein individual muscle activation zones correspond to ranges of values of the plurality of muscle activation quotients. The method includes generating a visualization of the plurality of muscle activation quotients and the plurality of muscle activation zones for the plurality of time-points. The method also includes outputting the visualization to a display.

Abstract: Systems and methods for detecting athletic performance and fatigue are disclosed herein. In one embodiment, a method for monitoring athletic performance of an athlete includes: monitoring a heart rate (HR) of the athlete by a wearable electrocardiogram (ECG) sensor carried by the athlete; determining a rate of change of the HR over a period of time; comparing the rate of change to a predetermined threshold; and based on the comparing, determining whether the athlete is fatigued.

Abstract: An augmented reality system and method of using the same for real-time assessment of athletic performance is described. The system includes a digital platform, itself including a display, at least one camera, and a communications module. The system further includes a performance monitor carried by a garment and configured to communicate wirelessly with the digital platform, a logic engine, and an interactive user interface, presenting real-time data and images of athletic performance. The real-time data and images include images obtained by the at least one camera and athletic performance data collected via the wearable sensor system. The augmented reality system provides a real-time augmented reality environment combining analysis of performance with live images of a subject of observation.

Abstract: A radio frequency (RF) imaging device comprises an optical position sensor, an RF sensor assembly, a processor, and a memory. The optical position sensor captures an optical image of a field of view and outputs data representing the optical image. The RF sensor assembly is disposed at a first position and receives an RF signal for capturing an RF image of a portion of a space disposed behind a surface at the first position and outputs data representing the RF signal. The processor receives the data representing the optical image and the RF signal, and determines that an optical signature of a reference marker is present in the optical image. If the optical signature is present in the optical image, the processor defines the first position of the RF assembly as a reference position. The memory stores the data representing the RF signal in association with the reference position.

Abstract: A radio frequency (RF) imaging device comprises a position sensor, an RF sensor assembly, an optical sensor, a processor, and a memory. The position sensor determines a position of the RF imaging device relative to a surface. The RF sensor assembly captures RF image data representing an RF image of a portion of a space behind the surface at the determined position. The optical sensor captures optical image data representing an optical image of the surface at the determined position. The processor produces a composite image in which at least one or more portions of the RF image and one or more portions of the optical image that correspond to the same position relative to the surface are simultaneously viewable. The RF image data and the optical image data are stored in the memory in association with position data derived from the determined position of the RF imaging device.

Abstract: Systems and methods for detecting athletic performance and fatigue are disclosed herein. In one embodiment, a method for monitoring athletic performance of an athlete includes: monitoring a heart rate (HR) of the athlete by a wearable electrocardiogram (ECG) sensor carried by the athlete; determining a rate of change of the HR over a period of time; comparing the rate of change to a predetermined threshold; and based on the comparing, determining whether the athlete is fatigued.

Abstract: A method and apparatus for blending and display of radio frequency in-wall imagery are provided. In the method and apparatus, an RF sensor assembly receives an RF signal for capturing an RF image of one or more objects including an electricity-bearing object disposed in a space behind a surface, a voltage sensor detects a presence of the electricity-bearing object disposed in the space behind the surface and a processor determines the RF image based on the data representing the RF signal, identifies a position of the electricity-bearing object in the RF image based on the data indicating the presence of the electricity-bearing object and a relative position of the sensory field to the RF sensor assembly and generates, based on the RF image, a composite image in which the electricity-bearing object is marked.

Abstract: A calibrator has profiles for holding locators for items in a tree-like database of smart device that monitors a process. The calibrator is connected to the smart device and obtains tag and other identity information to find the profile for the smart device. When a profile is located, the calibrator displays a list of calibration setup items and favorite items and loads the items on the list into the calibrator as default inputs or settings.

Abstract: A method and apparatus for blending and display of radio frequency in-wall imagery are provided. In the method and apparatus, an RF sensor assembly receives an RF signal for capturing an RF image of one or more objects including an electricity-bearing object disposed in a space behind a surface, a voltage sensor detects a presence of the electricity-bearing object disposed in the space behind the surface and a processor determines the RF image based on the data representing the RF signal, identifies a position of the electricity-bearing object in the RF image based on the data indicating the presence of the electricity-bearing object and a relative position of the sensory field to the RF sensor assembly and generates, based on the RF image, a composite image in which the electricity-bearing object is marked.

Abstract: A communicator has profiles for holding locators for items in a tree-like database for a smart device that monitors a process. The communicator is connected to the smart device and obtains tag and other identity information to find the profile for the smart device. When a profile is located, the communicator displays a list of configuration items and favorite items and loads the items on the list into the communicator as default inputs or settings.

Abstract: A radio frequency (RF) imaging device comprises a position sensor, an RF sensor assembly, an optical sensor, a processor, and a memory. The position sensor determines a position of the RF imaging device relative to a surface. The RF sensor assembly captures RF image data representing an RF image of a portion of a space behind the surface at the determined position. The optical sensor captures optical image data representing an optical image of the surface at the determined position. The processor produces a composite image in which at least one or more portions of the RF image and one or more portions of the optical image that correspond to the same position relative to the surface are simultaneously viewable. The RF image data and the optical image data are stored in the memory in association with position data derived from the determined position of the RF imaging device.

Abstract: A radio frequency (RF) imaging device comprises an optical position sensor, an RF sensor assembly, a processor, and a memory. The optical position sensor captures an optical image of a field of view and outputs data representing the optical image. The RF sensor assembly is disposed at a first position and receives an RF signal for capturing an RF image of a portion of a space disposed behind a surface at the first position and outputs data representing the RF signal. The processor receives the data representing the optical image and the RF signal, and determines that an optical signature of a reference marker is present in the optical image. If the optical signature is present in the optical image, the processor defines the first position of the RF assembly as a reference position. The memory stores the data representing the RF signal in association with the reference position.

Abstract: A handheld wireless transmitter network analysis tool has a transceiver for detecting wireless signals from a transceiver of a smart device used in an automated process control. The tool has a processor with program modules for analyzing the spectrum of received wireless signals and noise. Another memory module includes a device description protocol program for reading tag and primary variable data carried by the wireless signals from smart device. The network tool displays the frequency and spectrum of the wireless signal from smart device, the tag and primary variables for device, the signal to noise ratio and the possible identity of the sources of noise.

Abstract: A calibrator has profiles for holding locators for items in a tree-like database of smart device that monitors a process. The calibrator is connected to the smart device and obtains tag and other identity information to find the profile for the smart device. When a profile is located, the calibrator displays a list of calibration setup items and favorite items and loads the items on the list into the calibrator as default inputs or settings.

Abstract: A communicator has profiles for holding locators for items in a tree-like database for a smart device that monitors a process. The communicator is connected to the smart device and obtains tag and other identity information to find the profile for the smart device. When a profile is located, the communicator displays a list of configuration items and favorite items and loads the items on the list into the communicator as default inputs or settings.

Abstract: A handheld wireless transmitter network analysis tool has a transceiver for detecting wireless signals from a transceiver of a smart device used in an automated process control. The tool has a processor with program modules for analyzing the spectrum of received wireless signals and noise. Another memory module includes a device description protocol program for reading tag and primary variable data carried by the wireless signals from smart device. The network tool displays the frequency and spectrum of the wireless signal from smart device, the tag and primary variables for device, the signal to noise ratio and the possible identity of the sources of noise.