Abstract:
Technology for a method of detecting a user hand by a user hand detecting device. The method according to an aspect of the present invention includes extracting a first mask image from a depth image in which the user hand is imaged; extracting a second mask image having a preset skin color value among regions corresponding to the first mask image in a color image in which the user hand is imaged; generating a skin color value histogram model in a color space different from a region of the color image corresponding to a color region of the second mask image; generating a skin color probability image of the different color space from the color image using the skin color value histogram model and an algorithm for detecting a skin color region; and combining the skin color probability image with the second mask image and detecting the user's hand region.
Abstract:
A muscle control device includes an electromyography (EMG) electrode unit including a plurality of electrodes, and that senses an EMG signal, an EMG circuit unit that generates channel data, based on electrode signals, a control unit that receives the channel data, extracts a volitional electromyography signal, based on the channel data, and determines FES (Functional Electrical Stimulation) stimulation parameters, based on the volitional electromyography signal, an FES electrode unit that outputs a functional electrical stimulation, based on the FES stimulation parameters, and an FES circuit unit that receives the FES stimulation parameters, generates the functional electrical stimulation, based on the FES stimulation parameters, and transmits the functional electrical stimulation to the FES electrode unit, and the control unit recognizes a direction and an intensity of a motion from the volitional electromyography signal, based on the volitional electromyography signal and adjusts an intensity of the functional electrical stimulation.
Abstract:
Disclosed herein are a system and a method for volitional electromyography (vEMG) signal detection from an EMG signal when functional electrical stimulation (FES) is applied. The system for vEMG signal detection includes a receiver for receiving data from an EMG electrode when FES is applied, a memory for storing a program for detecting a vEMG signal using the received data, and a processor for executing the program, wherein the processor cuts the data received from the EMG electrode disposed at a predetermined position, calculates a difference between data for previous FES and data for current FES, and detects the vEMG signal using the calculated difference.
Abstract:
An image acquisition device is provided. The image acquisition device includes: a pattern generator that generates a plurality of incident light patterns using a plurality of light sources and that projects the generated plurality of incident light patterns to a target object; a pattern acquisition unit that acquires a pattern image that is formed in the target object by the plurality of incident light patterns; and an operation unit that generates a three-dimensional image of the target object using the pattern image.