A tennis analysis system analyzes tennis game play and generates game statistics for one or more players involved in a tennis session including match play. The system involves electronic portable devices that may be in a form of a dampener device. The portable devices can be mounted on tennis rackets for capturing stroke and other game related data during tennis play. Further, supplemental data may also be captured using personal devices such as mobile phones. The data generated by the electronic portable devices and personal devices can be used in combination by the tennis analysis system to perform game analysis.

A system for collision detection includes an interface and a processor. The interface is configured to receive sensor data from a plurality of sensors. The processor is configured to preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment; process the preprocessed sensor data using a compound model to create a collision score; and provide the collision score.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

A method for estimating ripeness of produce includes illuminating the produce with light, measuring intensities of the light reflected from the produce at different frequencies, and determining a degree of ripeness of the produce from the relative intensities of the light reflected from the produce at the different frequencies.

A computer implemented method and apparatus for a marine vessel data system, the method comprising: receiving data from at least one sensor configured to measure vibration and operationally arranged to the marine vessel to provide time-domain reference sensor data; maintaining the time-domain reference sensor data within a data storage system; generating a Fast Fourier Transform (FFT) on the time-domain reference sensor data to provide a plurality of reference spectra files in frequency-domain, wherein each reference spectra file comprises spectra data defined by amplitude information and frequency information, and each spectra file is associated with condition information determined based on collection of the time-domain reference sensor data; normalizing each reference spectra file by converting the frequency information to order information using the condition information to provide normalized reference spectra files; and training a convolutional autoencoder type of neural network using the normalized reference spectra files.

Methods, systems, and computer program products for exercise monitoring and coaching using audio devices are provided herein. A computer-implemented method includes processing a first set of one or more auditory prompts, wherein the first set of auditory prompts pertains to initiation of at least one activity with respect to a user; detecting, in connection with the first set of auditory prompts, one or more sets of movements being performed by the user, wherein said detecting comprises (i) emitting one or more acoustic waves towards the user and (ii) processing reflection of the one or more acoustic waves from the user; classifying, based on said detecting, the one or more sets of movements as one or more predefined exercises; and generating and outputting a second set of auditory prompts to the user, wherein the second set of auditory prompts pertains to the predefined exercises being performed by the user.

Embodiments include a method. The method includes maintaining, by a processing device, a real-time context describing a circumstance affecting an object. The method also includes determining a first saturation level of the object within a first portion of the field of view (FOV) of a sensor at a first point in time. The method also includes determining a second saturation level of the object within a second portion of the FOV of the sensor at a second point in time. The method also includes executing, by the processing device, an action to address a positive saturation determination between the first saturation level and the second saturation level.

A system for collision detection includes an interface and a processor. The interface is configured to receive sensor data from a plurality of sensors. The processor is configured to preprocess the sensor data using a set of preprocessing steps to create preprocessed sensor data, wherein the set of preprocessing steps comprises filtering, normalization, and alignment; process the preprocessed sensor data using a compound model to create a collision score; and provide the collision score.

A method for determining noise associated with a received signal in a telecommunications network, the received signal being sampled beforehand in the form of a succession of data. The method includes: selecting a portion of the data in the received signal and determining a given number of possible partitions of the selected portion of the data in the received signal, the number of partitions being greater than or equal to two; partitioning all of the data in the received signal into the number of partitions; estimating mean energies of the signal in each of the partitions and identifying a partition from among the partitions having a minimum mean, the identified partition being a noise partition; and estimating a variance of the noise partition, the noise associated with the received signal being a function of the variance of the noise partition.

A method for imaging a downhole formation. The method includes combining the captured images to generate a partial image of the formation, wherein the partial image includes captured images separated by gaps representing portions of the formation not captured with sensors what were disposed downhole. The method includes locating dips in the formation within the partial image and interpolating the partial image using the located dips within the partial image.