The invention discloses a motion identification method and a motion identification system. The motion identification method comprises the following steps of starting an inertial sensor to collect motion parameters of a motion joint; according to the collected motion parameters, calculating attitude data; and carrying out matching and identification on the attitude data and a motion model library. The invention also provides the system which is used to realize the above method. In the invention, a real-time requirement of man-machine interaction equipment can be satisfied, motion identification accuracy is increased, a usage environment is not limited, and good versatility and flexibility are possessed.

Motion identification method and system thereof

The invention relates to a movement control system and method for a multi-shaft mechanical arm, the movement of the mechanical arm can be controlled by users through a natural gesture and an arm motion. According to the movement control system and method for the multi-shaft mechanical arm, the physical gesture is recognized and the arm posture is calculated and solved through detection of myoelectric signals and IMU motion information on the surface of the human arm; the mechanical arm is controlled to present the arm motion of the human body through establishment of an arm-mechanical arm physical relationship model; and the grabbing operation of a tail end actuator of the mechanical arm is controlled by the natural gesture. The movement control system and method for the multi-shaft mechanical arm can be widely used for the field of remote operations of the mechanical arm, the teaching and the like; and the intelligent control over a robot is realized, and the aims of human-computer interaction and intelligent interaction are achieved.

Physical gesture movement control system and method for multi-shaft mechanical arm

The invention provides a gesture multifunctional electronic pointer which comprises a sensor module, an MCU processor module, a wireless sending module, a wireless receiving module, a computer interface module and a power supply module. Finger gesture information is acquired, analyzed and integrated and is converted into gesture instruction information to be sent to a computer wirelessly such thata corresponding file is operated. The gesture multifunctional electronic pointer uses a gesture control mode so as to facilitate operation and to reduce labor intensity, is small in size, low in energy consumption, easy to store, and beneficial to writing and drawing, and enhances the operability of manuscripts, PPTs and the likes.

Gesture multifunctional electronic pointer

The invention discloses a posture sensing-based body language semantic recognition method, a body language semantic recognition device and a storage medium. The method includes the following steps that: the target state information of arm joints and palm joints is acquired through posture sensing; state values corresponding to the target state information are searched in a first preset relationship mapping table, the state values of the arm joints and palm joints are combined, so that body language identification codes can be generated; and corresponding control commands are searched in a second preset relationship mapping table according to the body language identification codes, and operation on a target object is realized according to the control commands. According to the posture sensing-based body language semantic recognition method, the body language semantic recognition device and the storage medium of the invention, by means of the posture sensing, the state information of thearm joints and palm joints can be acquired more directly; the control commands corresponding to the state information are searched in the preset relationship mapping table according to the obtained state information; the operation on the target object is realized according to the control commands; and therefore, the efficiency of body language semantic recognition can be improved.

Posture sensing-based body language semantic recognition method, device and storage medium

The invention provides a gesture identification apparatus, system and method. The method comprises the steps of obtaining six-axis pose data of each finger through a six-axis inertial sensor of each finger module; obtaining nine-axis pose data of a palm and nine-axis pose data of an arm through a first nine-axis inertial sensor of a palm module and a second nine-axis inertial sensor of an arm module; and sending the six-axis pose data of each finger, the nine-axis pose data of the palm and the nine-axis pose data of the arm to an upper computer. The upper computer processes the six-axis pose data of each finger and the nine-axis pose data of the palm to obtain relative pose data of each finger and the palm, and processes the nine-axis pose data of the palm and the nine-axis pose data of the arm to obtain a spatial position of the palm. According to the gesture identification apparatus, system and method, 6DOF tracking is realized, so that the gesture identification rate is increased.

Gesture identification apparatus, system and method

The invention discloses a gesture recognition method and a gesture recognition device for realizing human-computer interaction. Human-computer interaction is realized based on a single MCU, multiple sets of inertial sensors and the wireless transmission technology. Small delay and high accuracy can be achieved. Moreover, the number of MCU is reduced greatly, hardware design is concise, the device size is reduced greatly, the cost is lowered, the user experience is enhanced, and a consumer product is easy to achieve. Processed available dynamic attitude data of gestures is sent to a terminal device by means of wireless transmission, the method is not bound by cables for wired transmission, and the user experience is enhanced greatly.

Gesture recognition method and gesture recognition device for realizing human-computer interaction

The utility model discloses a gesture recognition equipment based on inertial sensor and tactile feedback, including the wireless transmission equipment of the inertial sensor of the original gesture data of M group collection, 1 MCU who receives and handle original gesture data, transmission gesture data and need carrying out interactive outside terminal equipment, inertial sensor connects MCU's input, between connection of wireless transmission equipment and MCU's the output and outside terminal equipment, still includes a N tactile feedback device, and MCU is connected to the tactile feedback device. The utility model discloses both can carry out gesture recognition, can carry out tactile feedback again, greatly increase interactive sense of immersing, promote user experience.

Gesture recognition equipment based on inertial sensor and tactile feedback

The invention discloses a serial port data processing method for a Unity 3D platform. The serial port data processing method for the Unity 3D platform is capable of, through fusion and correction, converting the error data read by the serial port in the Unity 3D platform to the correct available data. Through performing the secondary filtering to the processed data, uncorrected null data can be filtered. In the Unity 3D platform, automatic dynamic adaptive hardware configuration can be realized by the mode of developing multithreading or the open of the multithreading is controlled by the mode of setting time threshold value so as to achieve the rate of manual regulating receiving data.

Serial port data processing method for Unity 3D platform

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Gesture recognition method and gesture recognition device for realizing human-computer interaction

Gesture recognition equipment based on inertial sensor and tactile feedback

Serial port data processing method for Unity 3D platform