3 results about "Gesture analysis" patented technology

The application discloses a motion posture analysis method, earphones, an earphone system and a computer readable storage medium. The posture analysis method is applied to the earphones. The method comprises the following steps: acquiring a motion signal, wherein the motion signal comprises an acceleration signal; calculating a running posture parameter based on the acceleration signal, wherein the running posture parameter comprises at least one of a vertical amplitude and a ground contact time, the vertical amplitude represents a vertical displacement variation of the earphones relative to a horizontal plane, and the ground contact time represents a time when a single foot of a user contacts the horizontal plane; and generating prompt information based on the running posture parameter. The vertical amplitude reflects the work condition of the user in the vertical direction, and monitoring the vertical amplitude can guide the user to reduce unnecessary vertical jumping and improve energy utilization efficiency. The ground contact time quantifies the duration of the contact between the foot of the user and the horizontal plane, thereby providing a basis for evaluating the running efficiency and the motion impact force. In this way, the motion posture obtained based on the vertical amplitude and the ground contact time parameter has high accuracy, and the generated prompt information is highly professional.

A system comprising: a control device and several interaction devices configured to communicate wirelessly with the control device, each of the several interaction devices comprising several sensory stimulation elements, a motion sensor, at least one wireless communication device and a user input element, and the several sensory stimulation elements comprising one or more light sources, audio sources and vibration sources; wherein the control device can be communicatively connected to an activity routine database comprising several activity routines;and wherein the control device and the multiple interaction devices are configured to implement a method of interactive physical and cognitive training based on multisensory external stimulation and body gesture detection, comprising the following steps: (B) providing an activity routine database comprising multiple activity routines, wherein the control device is communicatively coupled to the activity routine database; (C) communicatively coupling the control device with at least one primary interaction device from among the multiple interaction devices; (D) communicatively coupling each of the at least one primary interaction device with at least one secondary interaction device from among the multiple interaction devices by means of the at least one wireless communication device;(E) Receiving an activity routine selection by the control device, wherein the activity routine selection corresponds to a specific activity routine from the multiple activity routines; (F) Actuating the sensory stimulation elements of the multiple interaction devices according to the specific activity routine; (G) Receiving a series of user interaction signals with the control device through the user input elements of the multiple interaction devices; (H) Monitoring multiple activity data received by the control device from the motion sensor of a specific interaction device from the multiple interaction devices; (I) Analyzing the activity data by the control device using a gesture analysis algorithm; (J) Actuating at least one of the sensory stimulation elements of the specific interaction device based on the analysis of the multiple activity data;and (K) the control device analyzes the series of user interaction signals with an activity analysis algorithm to generate multiple activity performance data; the system is further configured to: receive a benchmark routine selection as the activity routine selection by the control device, wherein the benchmark routine selection corresponds to a benchmark routine from the multiple activity routines and wherein the benchmark routine is associated with multiple performance metrics; actuate the sensory stimulation elements of the multiple interaction devices according to the benchmark routine; analyze the series of user interaction signals with the multiple performance metrics to generate multiple benchmark data as the multiple activity performance data by the control device; compare the multiple benchmark data with the multiple performance metrics by the control device;Generating at least one personalized activity recommendation based on comparison by the control device; and storing the at least one personalized activity recommendation as one of several activity routines in the activity routine database by the control device.

To minimize unintended movement of medical imaging equipment by the operator. [Solution] The medical image diagnostic apparatus according to the embodiment comprises a first sensor unit, a first identification unit, a second sensor unit, a reading unit, an analysis unit, and a control unit. The first sensor unit detects contact by the operator. The first identification unit identifies the object to be operated on. The second sensor unit detects the operator's gestures. The reading unit reads the gestures based on the detection results of the second sensor unit. The analysis unit analyzes the instructions based on the reading results from the second sensor unit. The control unit controls the movement of the object to be operated on, which has been identified by the first identification unit, in a direction corresponding to the analysis results of the analysis unit.