Abstract:
A system may include a wearable apparatus dimensioned to be worn by a user about an axial region of the user’s body such that, when the wearable apparatus is worn by the user, the user’s field of view into a local environment is substantially free of a view of the wearable apparatus. The system may also include a machine-perception subsystem that is coupled to the wearable apparatus and that gathers information about the local environment by observing the local environment. Additionally, the system may include an experience-analysis subsystem that infers, based on the information about the local environment and information about the user, contextual information about an experience of the user in the local environment. Furthermore, the system may include a non-visual communication subsystem that outputs the contextual information about the experience of the user. Various other apparatuses, systems, and methods are also disclosed.
Abstract:
It is inter alia disclosed to estimate at least one of a location and an orientation of a first-type device (11) at least based on respective location estimates for one or more signal sources (10), wherein at least one location estimate for a signal source (10) of the one or more signal sources is determined at least based on respective signals from the signal source (10) received at one or more second-type devices (12) and respective locations of the one or more second-type devices (12), and respective position relationships between the one or more signal sources (10) and the first-type device (11).
Abstract:
A method for increasing a bearing accuracy of a receiver assembly includes providing a receiver assembly which receives sound waves to determine reception signals. The reception signals determine direction signals of a reception direction. Frequency lines of a frequency of a frequency range comprising an amplitude value are attributed to a reception direction based the direction signals. A directional function is formed for each frequency. Each directional function is transformed into a spectral range to obtain a first spectral function comprising first spectral function arguments. The first spectral function are filled with other spectral function arguments between middle spectral function arguments of the first spectral function arguments to obtain filled first spectral arguments. The other spectral function arguments have a respective value of zero or a range of zero. Each of the filled first spectral functions are transformed back from the spectral range to an interpolated first directional function.
Abstract:
Sound source localization apparatuses and methods are described. A frame amplitude difference vector is calculated based on short time frame data acquired through an array of microphones. The frame amplitude difference vector reflects differences between amplitudes captured by microphones of the array during recording the short time frame data. Similarity between the frame amplitude difference vector and each of a plurality of reference frame amplitude difference vectors is evaluated. Each of the plurality of reference frame amplitude difference vectors reflects differences between amplitudes captured by microphones of the array during recording sound from one of a plurality of candidate locations. A desired location of sound source is estimated based at least on the candidate locations and associated similarity. The sound source localization can be performed based at least on amplitude difference.
Abstract:
Techniques are disclosed for sound source localization based on joint learning and evaluation of ITD and ILD representations that are measured in a complementary, correlation-based way using binaural time-frequency spectrums. According to one embodiment, from these measurements and learned representatives, which may, for example, be created by combinations of measurements from signals belonging to the same class, i.e., the same azimuthal location, probability distributions over frequency and class are computed. These probability distributions can be combined over cue and frequency using information-theoretic approaches to get a robust classification of the location and additionally a confidence measure for the quality of the classification result.
Abstract:
An ultrasonic signal is used to link a beacon unit to a tracker unit to provide a tracking and navigation system for firefighters to use in a smoke filled environment at the scene of a fire. The beacon unit transmits an omnidirectional ultrasonic signal. The tracker unit, using a directional ultrasonic receiver provides a display or other indication of the signal strength of the received ultrasonic signal to allow the direction to the beacon unit to be determined. The ultrasonic signal provided by the beacon unit may be pulse modulated to include digitally encoded data that may be used to identify particular individuals, objects, materials, dangers, or exits. In addition, the tracker unit may be provided with a transmitter and the beacon unit provided with a receiver such that audio communication may be established therebetween.
Abstract:
A noise detection system is provided which includes a receiving unit, a processing unit and a user interface unit connected together. The receiving unit consists of a three-dimensional acoustical array for generally simultaneously receiving a multiplicity of sound signals from different directions. The sound signals have at least one sound source of interest. The processing unit processes the sound signals and consists of a three-dimensional spatial filter for identifying the elevation and azimuth of each of the sound signals, a sound database containing a multiplicity of soundprints of sound sources of interest, apparatus for classifying the sound signals with the soundprints, and apparatus for providing the azimuth and elevation of each of the classified sound signals. The user interface unit indicates to the user the azimuths and elevations of the classified sound signals. The processing unit further consists of filtering apparatus for filtering extraneous noise signals received by the acoustical array.
Abstract:
In a method and an apparatus for detecting a sound source, a measurement plane to be observed is automatically scanned in two-dimensional manner by means of two microphones which are spaced apart from each other by a given distance and are moved by a traversing device. Outputs of these microphones are sampled for successive measurement regions and then are processed by processing circuit including a fast Fourier transform to derive acoustic intensities with respect to various frequencies in a given frequency range. Then, a distribution of the acoustic intensities is indicated on a display device by using various indication techniques. Therefore, since the measurement is effected by using the acoustic intensity representing both a sound power and a propagating direction, the analysis of the sound source can be performed in an easy and accurate manner, and an entier apparatus can be small in size and inexpensive in cost.
Abstract:
Systems and methods are presented for detecting a direction of an incoming projectile and determining a source location of the projectile. One or more resonant sensors (comprising a plate, piezo electric sensor, etc.) can be arranged, where shockwaves from the projectile (e.g., shockwaves from a bullet travelling at supersonic speeds) are incident upon the plate and cause the plate to resonate. The resonance causes an electrical signal to be generated by the piezo electric sensor (e.g., a piezo electric film sensor), the greater the degree of resonance in the plate, the higher the magnitude of signal generated by the piezo electric sensor. By comparing the magnitude of the piezo electric signals across the array of resonant sensors it is possible to determine a trajectory of the projectile and hence a location of the source of the projectile. Acoustic waves can also be generated by muzzle waves.
Abstract:
Sound source localization apparatuses and methods are described. A frame amplitude difference vector is calculated based on short time frame data acquired through an array of microphones. The frame amplitude difference vector reflects differences between amplitudes captured by microphones of the array during recording the short time frame data. Similarity between the frame amplitude difference vector and each of a plurality of reference frame amplitude difference vectors is evaluated. Each of the plurality of reference frame amplitude difference vectors reflects differences between amplitudes captured by microphones of the array during recording sound from one of a plurality of candidate locations. A desired location of sound source is estimated based at least on the candidate locations and associated similarity. The sound source localization can be performed based at least on amplitude difference.