509 results about "Hand motion" patented technology

A system and method of enhancing guitar instruction based on Tablature Plus encoding of playing techniques within a MIDI file or other data structure, that may be rendered on an associated player application that provides multimedia output of the piece being played including a number of playing techniques. The system hardware for encoding the information includes string motion monitoring, and optionally a hand motion and finger positioning sensor, such as a data glove or a video motion capture system, for simultaneously registering the actions of the guitarist while playing the piece. The software comprises algorithms for determining note pitch and duration, and for extracting playing techniques from the data being collected. Multimedia player software is also described which renders a visual and audio output for the Tablature Plus encoded file, wherein the encoded playing techniques are represented within the display output. The system is adaptable to instruction for any instrument.

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. The immediate advantage is the facilitation of a digital interface with both PC and mobile computing devices and perhaps to enable wireless sensing.

Disclosed are a wearable mobile phone capable of detecting EMG changed by hand motion of a user and a control method of an input unit of the wearable mobile phone. The wearable mobile phone includes an EMG measuring unit 10 having a plurality of EMG measuring sensors 11 for detecting the EMG changed by hand motion of a user, and made in a ring shape to be worn on a wrist of the user, an EMG transferring unit 20 connected to the EMG measuring unit 10 for transferring the EMG measured by the EMG measuring unit, an EMG determining unit 30 mounted to one side of the EMG transferring unit 20 for receiving EMG from the EMG transferring unit to determine the hand motion and extract an input signal for the mobile phone corresponding to the hand motion, and a mobile phone functioning unit 40 receiving the input signal from the EMG determining unit for functioning the mobile function and having an antenna and a sound transferring device. The wearable mobile phone allows the user to input wanted information related to operation of the mobile phone, without using input keys, which can miniaturize the mobile phone and easily carry the mobile phone.

A flexible smart glove detects fine hand and finger motions while permitting the wearer to make hand gestures with dexterity. The flexible smart glove has a thickness of less than about 100 μm and incorporates capacitive micro-sensors positioned at finger joint locations. The micro-sensors are thin film devices built on substrates made of a pliable material such as polyimide. Interdigitated serpentine capacitors monitor strain in the back of the hand, while parallel plate capacitors monitor contact pressure on the palm. Thus the smart glove responds electrically to various types of hand motions. Thin film resistors responsive to changes in body temperature are also formed on the flexible substrate. Motion and temperature data is transmitted from the glove to a microprocessor via a passive RFID tag or an active wireless transmitter. An ASIC is embedded in the smart glove to relay real time sensor data to a remote processor.