Functional jewelry is disclosed. A bracelet includes a plurality of light-emitting diodes (LEDs), a main control unit, and positional and situational sensors, typically including an accelerometer, as well as a decorative, interchangeable fascial layer. The bracelet may also include sensors such as capacitive touch sensors, a microphone, and a color sensor. A radio transceiver within the bracelet is adapted to implement a protocol such as BLUETOOTH® 4.0, and is adapted to allow the bracelet to communicate in peer-to-peer or master-slave mode. Two users can pair their bracelets in person, usually with a gestural trigger, for shared light displays, multi-player games, and other types of interactions. Larger groups can pair temporarily and contextually for multi-user displays and interactions, in an ad hoc network with distributed functions. Real-world interactions are communicated to a social network with profiles linked to the individual bracelets.

A headset includes a microphone that detects an acoustic signal, and converts the acoustic signal into a microphone signal, an audio processor that receives the microphone signal, and a twisted pair conductor element coupling the microphone and the audio processor. The twisted pair conductor element self-cancels a radio frequency (RF) field to prevent the RF field from entering the microphone.

Aspects of the disclosure include systems, methods, and program products for evaluating the condition of a component using an acoustic sensor embedded within a lighting device. A system according to the present disclosure can include a first lighting device configured to illuminate an area of an industrial plant; a first acoustic sensor embedded within the first lighting device and configured to detect an acoustic signature of a component in the industrial plant; a computing device communicatively connected to the first acoustic sensor and configured to evaluate a condition of the component in the industrial plant based on the acoustic signature.

In various embodiments, a circuit arrangement is provided. The circuit arrangement includes a sensor set up to provide an analogue signal, an analogue/digital converter set up to receive the analogue signal and to provide a first signal, and a first filter set up to receive a signal based on the first signal and to provide a second signal. The first filter is set up in such a manner that the second signal is allowed through without amplification or substantially without amplification in a frequency range of approximately 20 Hz to approximately 10 kHz, and the second signal has a gain of greater than 0 dB at least above a predefined frequency which is greater than approximately 20 kHz.

A read circuit for capacitive sensors such as a MEMS microphones includes a sensor node configured to be coupled to a capacitive sensor to apply a bias voltage to the sensor and sense the capacitance value of the sensor wherein the voltage at the sensor node is indicative of the capacitance value of the capacitive sensor. A switch is provided between the sensor node and the intermediate node. A shock detector coupled to the sensor node and the switch asserts a shock signal to make the switch conductive in response to a shock applied to the capacitive sensor, and de-asserts the shock signal to make the switch non-conductive with a delay after the end of the shock applied to the capacitive sensor.

An image capture device includes a housing having a pattern of apertures and a membrane assembly. The membrane assembly includes a support that has internal and external surfaces and a channel that aligns with at least one aperture of the pattern of apertures and extends between the internal and external surfaces. The membrane assembly includes indents that are adjacent to the channel, aligned with the pattern of apertures, and disposed on the external surface. The indents have a depth that is less than a depth of the channel.

A headset of the present disclosure includes a housing 1 worn on user's ears, an ear-canal insertion portion 10 with a cylindrical shape provided at an ear-canal side of the housing 1 as a part of the housing 1, a driver 4 for outputting a signal provided inside the housing 1, and a microphone 5 provided at the back of a signal outputting surface of the housing 1 to acquire a response signal from a front of the driver 4.

A microphone may comprise a microphone element for detecting sound, and a digital signal processor configured to process a first audio signal that is based on the sound in accordance with a selected one of a plurality of digital signal processing (DSP) modes. Each of the DSP modes may be for processing the first audio signal in a different way. For example, the DSP modes may account for distance of the person speaking (e.g., near versus far) and/or desired tone (e.g., darker, neutral, or bright tone). At least some of the modes may have, for example, an automatic level control setting to provide a more consistent volume as the user changes their distance from the microphone or changes their speaking level, and that may be associated with particular default (and/or adjustable) values of the parameters attack, hold, decay, maximum gain, and/or target gain, each depending upon which DSP is being applied.

A method providing an estimation of a shooting range with high accuracy by a miss distance estimation and a weapon caliber classification following detection of shooting of firearms with supersonic bullets, and by using novel equations constructed from field shooting data for each caliber in order to ensure a security of a patrol station, a border, troops, a society, a vehicle and a convoy is provided.

Systems and methods for assessing the visual acuity of person using a computerized consumer device are described. The approach involves determining a separation distance between a human user and the consumer device based on an image size of a physical feature of the user, instructing the user to adjust the separation between the user and the consumer device until a predetermined separation distance range is achieved, presenting a visual acuity test to the user including displaying predetermined optotypes for identification by the user, recording the user's spoken identifications of the predetermined optotypes and providing real-time feedback to the user of detection of the spoken indications by the consumer device, carrying out voice recognition on the spoken identifications to generate corresponding converted text, comparing recognized words of the converted text to permissible words corresponding to the predetermined optotypes, determining a score based on the comparison, and determining whether the person passed the visual acuity test.