Recognition of Natural Hand Gesture by Using HMM

Abstract

In this paper, we propose a method that gives motion command to a mobile robot to recognize human being's hand gesture. Former way of the robot-controlling system with the movement of hand used several kinds of pre-arranged gesture, therefore the ordering motion was unnatural. Also it forced people to study the pre-arranged gesture, making it more inconvenient. To solve this problem, there are many researches going on trying to figure out another way to make the machine to recognize the movement of the hand. In this paper, we used third-dimensional camera to obtain the color and depth data, which can be used to search the human hand and recognize its movement based on it. We used HMM method to make the proposed system to perceive the movement, then the observed data transfers to the robot making it to move at the direction where we want it to be.

8-Straight Line Directions Recognition Algorithm for Hand Gestures Using Coordinate Information

“…       ∆  ∆  ∆  ∆         (8) Here, the reason to use the threshold value drawn from the formula above is as follows. In [Fig.…”

Robust Video-Based Barcode Recognition via Online Sequential Filtering

“…We consider a temporal model for a sequence of barcode image frames, similar to the popular hidden Markov model (HMM). The HMMs were previously applied to visual pattern recognition problems [6][7][8][9][10]. In our model, we introduce hidden state variables that encode the blur/noise levels of the corresponding frames, and impose smooth dynamics over those hidden states.…”

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“…4, December 2018 natural hand motions has been also conducted. They used the chain code to represent the hand movements, recognition process was performed using a hidden Markov model (HMM), and gave the motion command to a robot [3,4]. Pugeault and Bowden [5] created a data set by labeling ASL (American Sign Language) finger spelling using threedimensional (3D) depth images and recognized the hand shape.…”

“…In the case unexpected results might happen. In order to prevent such case, a research has been conducted using start and completion hand motion commands [4].…”