Abstract: In one example a data processing platform comprising circuitry to receive an input from a single electroencephalography (EEG) sensor and a single reference sensor, detect an increase in brain wave activity in a predetermined frequency range, and in response to the increase in brain wave activity in the predetermined frequency range, to generate an alert signal. Other examples may be described.

Abstract: A system and method of communicating among electronic devices on a platform. The method includes inducing, at a first device coupled to a substrate, mechanical vibrations in the substrate. Then the method further includes receiving the mechanical vibrations through the substrate at a second device coupled to the substrate. The mechanical vibrations are interpreted as a command to the second device. The second device acts on the command.

Abstract: A voice capture system worn by a user senses vibrations through the nose of the user when the user speaks. The voice capture system generates an electronic signal based on the sensed vibration and generate voice data based on the electronic signal. In this manner, the system may capture a user's voice while also screening out external noise (e.g., based on the sound dampening properties of the human skull). In one example, a voice capture system may include a wearable frame (e.g., eyeglass frame) on which is mounted at least one sensor and a device. The at least one sensor senses vibration in the nose of a user and generates the electronic signal based on the vibration. The device receives the electronic signal from the at least one sensor and generates voice data based on the electronic signal.

Abstract: This disclosure pertains to a system for sound capture and generation via nasal vibration. An example system to capture and generate sound may comprise at least a frame wearable by a user, sensing circuitry mounted to the frame and a device also mounted to the frame. The sensing circuitry may sense voice vibration induced in the user's nose by the user's voice, generate an electronic signal based on the sensed voice vibration and induce audio vibration in the nose based on audio data. The device may be to at least control the operation of the sensing circuitry. The sensing circuitry may comprise at least one piezoelectric diaphragm to generate the electronic signal and induce the audio vibration. In at least one example implementation, the frame may be for eyeglasses and may comprise at least one nosepiece structure for contacting the nose, the at least one structure including the sensing circuitry.

Abstract: A method is described including performing gestural training to extract training signals representing a gesture from each sensor in a sensor array, storing the training signals for each signal corresponding to the gesture in a library, receiving real time signals from the sensor array and comparing the real time output signals to corresponding training signals within the library to determine if a gesture has been recognized

Abstract: A computing device including a wireless communication system is provided herein. The computing device includes a plurality of antennas coupled to the wireless communication system. The computing device also includes a pattern controller to shape an antenna pattern of the plurality of antennas to point a null of the antenna pattern toward a Radio Frequency Interference (RFI) source of the computing device.

Abstract: Speech from multiple users is distinguished. In one example, an apparatus has a sensor to determine a position of a speaker, a microphone array to receive audio from the speaker and from other simultaneous audio sources, and a processor to select a pre-determined filter based on the determined position and to apply the selected filter to the received audio to separate the audio from the speaker from the audio from the other simultaneous audio sources.

Abstract: In one example a control logic, at least partially including hardware logic, is configured to receive a first signal from at least one of the plurality of sensors, wherein the first signal represents first acceleration data associated with the at least one of the plurality of sensors over a predetermined time period, and in response to the first signal, to determine a symbol associated with the first acceleration data, and transmit a signal identifying the symbol to a remote electronic device. Other examples may be described.

Abstract: In embodiments, apparatuses, methods and storage media for personalized speech recognition are described. In various embodiments, a personalized speech recognition system (“PSRS”) may receive personal speech recognition training data (“PTD”) that is associated with a user to facilitate recognition of speech from the user. The PSRS may train a speech recognition module using the received PTD. The user may provide the PTD using a mobile device under control of the user. The PTD may be generated and stored on the mobile device through actions of the user, such as by using the mobile device to record a corpus of speech examples by the user. The user may subsequently facilitate provisioning of the PTD to the PSRS using the mobile device, such as through a wired or wireless network. Other embodiments may be described and claimed.

Abstract: A computing device including a wireless communication system is provided herein. The computing device includes a plurality of antennas coupled to the wireless communication system. The computing device also includes a pattern controller to shape an antenna pattern of the plurality of antennas to point a null of the antenna pattern toward a Radio Frequency Interference (RFI) source of the computing device.