Abstract: Systems and methods which provide a motion sensor data-driven framework for sports action recognition and/or assessment using a wearable sensor are described. A motion sensor data-driven system may provide real-time kinematical analysis to athletes engaged in active competition or training sessions under typical competition or training conditions. Analysis of motion sensor data provided according to embodiments may operate to recognize instances of one or more particular sports actions performed by an athlete and/or assess the skill of the athlete from analysis of one or more sports actions. A motion sensor data processing platform of embodiments of a motion sensor data-driven system may comprise a processor-based system configured to receive and analyze data regarding the movement of an athlete's limb reported by a wearable sensor device comprising a micro inertial measurement unit configuration for capturing and reporting data regarding the movement of an athlete's limb.

Abstract: The present invention provides a personalized, three-dimensional printed, human auricle-specific multiple auricular points' bio-signal acquisition, health status monitoring, and bio-stimulation device, including an artificial ear model made of at least one bio-compatible, flexible polymer, a plurality of sensing and stimulating electrodes with at least one sensing end and a signal acquisition/processing end penetrating through a body of the ear mold conformably with a human auricle so that a surface of the ear mold where sensing end of the electrodes is disposed creates an electrode-human skin interface for bio-signal detection and bio-stimulation responsive thereto. Methods of fabricating the device based on 3-D printing, 3D scanning and modelling techniques and using thereof for bio-signal acquisition, analysis, health status monitoring and bio-stimulation are also provided.

Abstract: The present invention provides a personalized, three-dimensional printed, human auricle-specific multiple auricular points' bio-signal acquisition, health status monitoring, and bio-stimulation device, including an artificial ear model made of at least one bio-compatible, flexible polymer, a plurality of sensing and stimulating electrodes with at least one sensing end and a signal acquisition/processing end penetrating through a body of the ear mold conformably with a human auricle so that a surface of the ear mold where sensing end of the electrodes is disposed creates an electrode-human skin interface for bio-signal detection and bio-stimulation responsive thereto. Methods of fabricating the device based on 3-D printing, 3D scanning and modelling techniques and using thereof for bio-signal acquisition, analysis, health status monitoring and bio-stimulation are also provided.

Abstract: Time-varying scent determined by audio-meaningful events, such as gun firing, in an audio signal is generated by first computing a spectrogram thereof. A fingerprint, each having feature points, can be extracted from the spectrogram over a time window. The plurality of feature points is hashed to give a hash code. A sequence of hash codes obtained over multiple time windows is correlated with predetermined hash-code segments of known audio-meaningful events stored in a database. A matched audio-meaningful event having a highest correlation is identified. The scent-generating recipe corresponding to the matched audio-meaningful event is retrieved. Atomizers are used to vaporize scent-generating substances to generate the time-variant scent. Since the hash code has a fixed length and a smaller size than the plurality of feature points, storage requirements of the database and computation requirements of correlation calculation are reduced by using the hash code rather than the plurality of feature points.

Abstract: Time-varying scent determined by audio-meaningful events, such as gun firing, in an audio signal is generated by first computing a spectrogram thereof. A fingerprint, each having feature points, can be extracted from the spectrogram over a time window. The plurality of feature points is hashed to give a hash code. A sequence of hash codes obtained over multiple time windows is correlated with predetermined hash-code segments of known audio-meaningful events stored in a database. A matched audio-meaningful event having a highest correlation is identified. The scent-generating recipe corresponding to the matched audio-meaningful event is retrieved. Atomizers are used to vaporize scent-generating substances to generate the time-variant scent. Since the hash code has a fixed length and a smaller size than the plurality of feature points, storage requirements of the database and computation requirements of correlation calculation are reduced by using the hash code rather than the plurality of feature points.

Abstract: Systems and methods which provide a motion sensor data-driven framework for sports action recognition and/or assessment using a wearable sensor are described. A motion sensor data-driven system may provide real-time kinematical analysis to athletes engaged in active competition or training sessions under typical competition or training conditions. Analysis of motion sensor data provided according to embodiments may operate to recognize instances of one or more particular sports actions performed by an athlete and/or assess the skill of the athlete from analysis of one or more sports actions. A motion sensor data processing platform of embodiments of a motion sensor data-driven system may comprise a processor-based system configured to receive and analyze data regarding the movement of an athlete's limb reported by a wearable sensor device comprising a micro inertial measurement unit configuration for capturing and reporting data regarding the movement of an athlete's limb.

Abstract: A Micro Inertial Measurement Unit (IMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human hand motions, especially as used in the context of writing on a surface. Motion is recorded by a motion/acceleration sensor, which may be a combination of a rate rate gyro and an accelerometer, and possibly in combination with a video camera set to detect markers located on a board, with the camera utilizable to detect lines and markers and to determine the proximity of the white board. The immediate advantage is the facilitation of a digital interface with both PC and mobile computing devices and perhaps to enable wireless sensing.

Abstract: A Micro Inertial Measurement Unit (IMU) which is based on MEMS accelerometers and gyro sensors is developed for real-time recognition of human hand motions, especially as used in the context of writing on a surface. Motion is recorded by a rate gyro and an accellerometer and communicated to a Bluetooth module, possibly to a computer which may be 20 to 30 feet or more from the sensor. The motion information generated and communicated is combined with appropriate filtering and transformation algorithms to facilitate a complete Digital Writing System that can be used to record handwriting on any surface, or on no surface at all. The overall size of an IMU can be less than 26 mm×20 mm×20 mm, and may include micro sensors, a processor, and wireless interface components. The Kalman filtering algorithm is preferably used to filter the noise of sensors to allow successful transformance of hand motions into recognizable and recordable English characters.

Abstract: Wall lamp structure with projective clocks including a seat body and a projecting unit connected with the seat body by a connecting member and right positioned above the front face of the seat body. A timer is disposed on the seat body. The projecting unit is a shade body. A light emitter is disposed in the projecting unit, facing the front face of the seat body. A mark member having marks is fitted around the light emitter. The light emitter projects light beam onto the mark member and the indicators of the timer to show the shades thereof on the wall face to form a magnified shade-type clock.