Abstract: The present application provides various embodiments for a Bluetooth headset or other wearable communication device that pairs via a Bluetooth protocol with a two way radio (hardware or software), thereby enabling hands-free activation and deactivation of the paired two way radio. Intelligent speech control is enabled for the two way radio using a start phrase to trigger talk or transmit mode of the two way radio and an end phrase to trigger the receive or listen mode of the two way radio. Tones can be emitted when a mode is entered as feedback to the user as to which mode the two way radio has entered.

Abstract: Various helmet communication, entertainment, and safety techniques are enabled. For instance, a method comprises receiving, by a helmet user-interface system comprising a processor, an output from a sensor, determining, by the helmet user-interface system, whether the output comprises gesture information representative of a gesture, in response to the determining and based on a condition being determined to be satisfied, identifying, by the helmet user-interface system, a gesture type associated with the gesture information, and executing, by the helmet user-interface system, a function associated with the gesture type.

Abstract: Management of a mobile device security lock is described herein. A method as described herein includes connecting, by a system comprising a processor, to a trusted device via a first wireless communication link, receiving, by the system, a lock command from the trusted device, in response to receiving the lock command, transitioning from an open access mode of the system to a limited access mode, connecting, by the system, to a non-trusted device via a second wireless communication link while in the limited access mode, attempting, by the system, to obtain an authorization for communication by the system with the non-trusted device, and in response to the attempting to obtain the authorization being determined to be unsuccessful, preventing the communication with the non-trusted device.

Abstract: Various helmet communication, entertainment, and safety techniques are enabled. For instance, a method comprises receiving, by a helmet user-interface system comprising a processor, an output from a sensor, determining, by the helmet user-interface system, whether the output comprises gesture information representative of a gesture, in response to the determining and based on a condition being determined to be satisfied, identifying, by the helmet user-interface system, a gesture type associated with the gesture information, and executing, by the helmet user-interface system, a function associated with the gesture type.

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: Multi-sensor signal optimization is facilitated for speech communication. A sensor component including acoustic sensors can be configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors. Further, an audio processing component can be configured to generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors, determine noise levels for the first sound information, the second sound information, and the filtered sound information, and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.

Abstract: Motion or event detection and notification devices and methods are disclosed. Motion or event detection information can be processed and interfaced with in order to facilitate system functionality. In an embodiment, a unique ID can be utilized to identify a recipient of an alert. Unique IDs can correspond to different users or devices of a motion or event detection system. In some embodiments, information relating to the detection can be relayed to a user of the system. That information can take on different forms, including basic information such as a simple notification or other forms such as a live feed of the event. The ability to implement such a system can allow for increased security for an area or increased peace-of-mind for a user or monitor of the system.

Abstract: Employing outputted tones on a client device and/or headset is facilitated to identify hearing sensitivity of a user for both ears at various frequency bands and provide an indication of the users hearing sensitivity as compared to a normal hearing curve of a plurality of users on the same client device and/or headset or differing client devices and/or headsets.

Abstract: Multi-sensor signal optimization is facilitated for speech communication. A sensor component including acoustic sensors can be configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors. Further, an audio processing component can be configured to generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors, determine noise levels for the first sound information, the second sound information, and the filtered sound information, and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.

Abstract: Motion or event detection and notification devices and methods are disclosed. Motion or event detection information can be processed and interfaced with in order to facilitate system functionality. In an embodiment, a unique ID can be utilized to identify a recipient of an alert. Unique IDs can correspond to different users or devices of a motion or event detection system. In some embodiments, information relating to the detection can be relayed to a user of the system. That information can take on different forms, including basic information such as a simple notification or other forms such as a live feed of the event. The ability to implement such a system can allow for increased security for an area or increased peace-of-mind for a user or monitor of the system.

Abstract: Systems, methods, and apparatus for facilitating multi-sensor signal optimization for speech communication are presented herein. A sensor component including acoustic sensors can be configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors. Further, an audio processing component can be configured to generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors; determine noise levels for the first sound information, the second sound information, and the filtered sound information; and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.

Abstract: Management of a mobile device security lock is described herein. A method as described herein includes connecting, by a system comprising a processor, to a trusted device via a first wireless communication link, receiving, by the system, a lock command from the trusted device, in response to receiving the lock command, transitioning from an open access mode of the system to a limited access mode, connecting, by the system, to a non-trusted device via a second wireless communication link while in the limited access mode, attempting, by the system, to obtain an authorization for communication by the system with the non-trusted device, and in response to the attempting to obtain the authorization being determined to be unsuccessful, preventing the communication with the non-trusted device.

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: Systems, methods, and apparatus for facilitating multi-sensor signal optimization for speech communication are presented herein. A sensor component including acoustic sensors can be configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors. Further, an audio processing component can be configured to generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors; determine noise levels for the first sound information, the second sound information, and the filtered sound information; and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: Systems, methods, and apparatus for facilitating multi-sensor signal optimization for speech communication are presented herein. A sensor component including acoustic sensors can be configured to detect sound and generate, based on the sound, first sound information associated with a first sensor of the acoustic sensors and second sound information associated with a second sensor of the acoustic sensors. Further, an audio processing component can be configured to generate filtered sound information based on the first sound information, the second sound information, and a spatial filter associated with the acoustic sensors; determine noise levels for the first sound information, the second sound information, and the filtered sound information; and generate output sound information based on a selection of one of the noise levels or a weighted combination of the noise levels.

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: Boomless-microphones are described for a wireless helmet communicator with siren signal detection and classification capabilities. An acoustic component receives an audio signal and comprises a left acoustic sensor and a right acoustic sensor. The left acoustic sensor is mountable or attachable to the surface of a left wall of a helmet and the right acoustic sensor is mountable or attachable to the surface of a right wall. A speaker component can generate an echoless audio signal via signal inversion of the audio signal, outputs to a left speaker mountable or attachable to a left ear area of the helmet and a right speaker mountable or attachable to a right ear area of the helmet. A signal enhancement component can increase an intensity of the first audio signal associated with an emergency siren based on a determined proximity of an emitting emergency vehicle or emergency object to the device.

Abstract: Employing outputted tones on a client device and/or headset is facilitated to identify hearing sensitivity of a user for both ears at various frequency bands and provide an indication of the users hearing sensitivity as compared to a normal hearing curve of a plurality of users on the same client device and/or headset or differing client devices and/or headsets.

Abstract: Employing outputted tones on a client device and/or headset is facilitated to identify hearing sensitivity of a user for both ears at various frequency bands and provide an indication of the users hearing sensitivity as compared to a normal hearing curve of a plurality of users on the same client device and/or headset or differing client devices and/or headsets.