Abstract: A computer implemented method for determining locations of personal mobility carts in a fleet of personal mobility carts is provided. At least a first zone having a first perimeter boundary is established at a computing device having one or more processors. Geolocations of each personal mobility cart in the fleet of personal mobility carts are received at the computing device. The geolocations of each personal mobility cart of the fleet of personal mobility carts are compared with the first zone by the computing device. A determination is made by the computing device whether a personal mobility cart of the fleet of personal mobility carts occupies a location outside of the first zone. A notification is generated based on the determination by the computing device. A method for managing cart usage and battery usage of the fleet of carts is also provided.

Abstract: A hearing assistance device is discussed that has one or more accelerometers, a user interface, and optionally a left/right determination module is configured to receive input data from the one or more accelerometers from user actions causing control signals as sensed by the accelerometers to trigger a program change for an audio configuration for the device selected from a group consisting of a change in amplification/volume control, a change in a mute mode, a change of a hear loss profile loaded into that hearing assistance device, and a change in a play-pause mode.

Abstract: One or more context aware processing parameters and an ambient audio stream are received. One or more sound characteristics associated with the ambient audio stream are identified using a machine learning model. One or more actions to perform are determined using the machine learning model and based on the one or more context aware processing parameters and the identified one or more sound characteristics. The one or more actions are performed.

Abstract: According to various aspects, an obstacle analyzer may include: one or more sensors configured to receive obstacle identification information representing one or more identification features of an obstacle and obstacle condition information associated with one or more conditions of the obstacle; and one or more processors configured to identify the obstacle based on the received obstacle identification information and generate an identification value corresponding to the identified obstacle, determine a rating value representing a risk potential of the identified obstacle based on the received obstacle condition information, and store the rating value assigned to the identification value of the identified obstacle in one or more memories.

Abstract: A plurality of utterances of a first user from the language of the first user is translated into a language of a second user. The confidence scores associated with the translated utterances are compared with a confidence threshold. A predetermined utterance gap is adjusted based on the comparison. The predetermined utterance gap is a duration of time that occurs between utterances.

Abstract: The subject matter described herein includes methods, systems, and computer readable media for automated behavioral assessment. According to one aspect, a method for automated behavioral assessment is provided. The method occurs at a computing platform including a processor and memory. The method includes providing at least one stimulus for eliciting a response from a user. The method also includes obtaining, using a camera or sensor communicatively coupled to the computing platform, the at least one response. The method also includes determining, using the at least one response, a behavioral assessment associated with the user.

Abstract: A hearing assistance device is discussed that has one or more accelerometers, a user interface, and optionally a left/right determination module is configured to receive input data from the one or more accelerometers from user actions causing control signals as sensed by the accelerometers to trigger a program change for an audio configuration for the device selected from a group consisting of a change in amplification/volume control, a change in a mute mode, a change of a hear loss profile loaded into that hearing assistance device, and a change in a play-pause mode.

Abstract: One or more context aware processing parameters and an ambient audio stream are received. One or more sound characteristics associated with the ambient audio stream are identified using a machine learning model. One or more actions to perform are determined using the machine learning model and based on the one or more context aware processing parameters and the identified one or more sound characteristics. The one or more actions are performed.

Abstract: Personal audio systems and methods are disclosed. The personal audio system includes a processor configured to generate a processed ambient audio stream by processing the ambient audio stream in accordance with a selected set of processing parameters selected from the plurality of processing parameter sets stored in the memory, a communications interface configured to receive a new set of processing parameters, selected by someone other than the user, and a controller configured to instruct the processor to begin generating the processed ambient audio stream by using the new set of processing parameters.

Abstract: A time heuristic audio control system, comprises a receiver for receiving time-based data from a personal computing device and a memory storing one or more sets processing parameters comprising instructions for processing the ambient sound based upon the time-based data. The system further includes a processor coupled to the memory and the receiver configured to adjust the ambient sound as directed by a selected set of processing parameters retrieved from the memory to create adjusted audio, the selected set of processing parameters retrieved based upon the time-based data and at least one speaker for outputting the adjusted audio.

Abstract: A hearing assistance device is discussed that has one or more accelerometers, a user interface, and optionally a left/right determination module is configured to receive input data from the one or more accelerometers from user actions causing control signals as sensed by the accelerometers to trigger a program change for an audio configuration for the device selected from a group consisting of a change in amplification/volume control, a change in a mute mode, a change of a hearing loss profile loaded into that hearing assistance device, and a change in a play-pause mode.

Abstract: A plurality of utterances of a first user from the language of the first user is translated into a language of a second user. The confidence scores associated with the translated utterances are compared with a confidence threshold. A predetermined utterance gap is adjusted based on the comparison. The predetermined utterance gap is a duration of time that occurs between utterances.

Abstract: Active acoustic filter systems and methods are disclosed. An active acoustic filter system includes a memory storing one or more stored sound profiles and a respective set of processing parameters associated with each of the one or more stored sound profiles. A processor coupled to the memory generates processed sound by processing ambient sound in accordance with a set of processing parameters retrieved from the memory based on results from comparing an ambient sound profile to at least one of the one or more stored sound profiles.

Abstract: Active acoustic filter systems and methods are disclosed. An active acoustic filter system includes a memory storing one or more stored sound profiles and a respective set of processing parameters associated with each of the one or more stored sound profiles. A processor coupled to the memory generates processed sound by processing ambient sound in accordance with a set of processing parameters retrieved from the memory based on results from comparing an ambient sound profile to at least one of the one or more stored sound profiles.

Abstract: Personal audio systems and methods are disclosed. The personal audio system includes a processor configured to generate a processed ambient audio stream by processing the ambient audio stream in accordance with a selected set of processing parameters selected from the plurality of processing parameter sets stored in the memory, a communications interface configured to receive a new set of processing parameters, selected by someone other than the user, and a controller configured to instruct the processor to begin generating the processed ambient audio stream by using the new set of processing parameters.

Abstract: A plurality of utterances of a first user from the language of the first user is translated into a language of a second user. The confidence scores associated with the translated utterances are compared with a confidence threshold. A predetermined utterance gap is adjusted based on the comparison. The predetermined utterance gap is a duration of time that occurs between utterances.

Abstract: An earpiece for real-time audio processing of ambient sound includes an ear bud that provides passive noise attenuation to the earpiece such that exterior ambient sound is substantially reduced within an ear of a wearer, an exterior microphone that receives ambient sound and converts the received ambient sound into analog electrical signals, and an analog-to-digital converter that converts the analog electrical signals into digital signals representative of the ambient sounds. The earpiece further includes a digital signal processor that performs a transformation operation on the digital signals according to instructions received from a mobile device, the transformation operation transforms the digital signals into modified digital signals, a digital-to-analog converter that converts the modified digital signals into modified analog electrical signals, and a speaker that outputs the modified analog electrical signals as audio waves.

Abstract: Ambient sound is converted into digital signals. A processor performs active noise cancellation and/or a transformation operation that is distinct from the active noise cancellation on the digital signals. The active noise cancellation and the transformation operation transform the digital signals into modified digital signals. The modified digital signals are converted into modified analog signals. The modified analog signals are outputted as audio waves. An interior microphone is configured to output an output signal to the processor in response to receiving the modified analog signals. In response to receiving the output signal from the interior microphone, the processor is configured to determine whether the modified digital signals produce desired audio waves.

Abstract: A time heuristic audio control system, comprises a receiver for receiving time-based data from a personal computing device and a memory storing one or more sets processing parameters comprising instructions for processing the ambient sound based upon the time-based data. The system further includes a processor coupled to the memory and the receiver configured to adjust the ambient sound as directed by a selected set of processing parameters retrieved from the memory to create adjusted audio, the selected set of processing parameters retrieved based upon the time-based data and at least one speaker for outputting the adjusted audio.

Abstract: Ambient sound is converted into an ambient audio stream. A processed ambient audio stream is generated by processing the ambient audio stream in accordance with a selected set of processing parameters selected from the plurality of processing parameter sets stored in the memory. Trigger data is searched and a new set of processing parameters is requested. The trigger data identifies the new set of processing parameters that is available for use in processing the ambient audio stream. A received new set of processing parameters is selected as the selected set of processing parameters. The processed ambient audio stream is converted into processed output sound.