Mode recognition integrated service system based on heterogeneous software interface
A technology of software interface and pattern recognition, which is applied in character and pattern recognition, biometric recognition, and equipment for radiological diagnosis, etc. It can solve the problems of back spine injury and poor practicability, and achieve the effect of preventing backache and hunchback
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Embodiment 1
[0060] Example 1: The back bending measurement module uploads the skeleton of employee A's spine region to the system, and the back bending analysis module measures the degree of back bending θ when employee A just took a seat 1 = 175°, the degree of back curvature θ measured again after sitting for half an hour 2 = 155°, and the line drawn by the real-time detection of the degree of back curvature within half an hour is a curve that increases and decreases with time, so the fatigue degree value of employee A after sitting for a long time n in the formula 1 =10,n 2 = 5, when the coefficient value k = 1, the number of times that employee A needs to stretch his body after sitting for a long time Second-rate;
Embodiment 2
[0061] Embodiment 2: The back bending measurement module uploads the bones in the spine region of employee B to the system, and the back bending analysis module measures the degree of back curvature θ of employee A when he just took his seat 1 = 175°, the degree of back curvature θ measured again after sitting for half an hour 2 = 165°, and the line drawn by the real-time detection of the degree of back curvature within half an hour is a straight line that increases and decreases in varying degrees with time, so the fatigue degree value of employee A after sitting for a long time n in the formula 1 =10,n 2 = 5, when the coefficient value k = 1, employee A needs to stretch the number of times after sitting for a long time n = (p*n 1 +t*n 2 )*k=1*10+1*5=15 times;
Embodiment 3
[0062] Example 3: The back bending measurement module uploads the skeleton of employee B's spine area to the system, and the back bending analysis module measures the degree of back bending θ of employee A when he just took his seat 1 = 170°, the degree of back curvature θ measured again after sitting for half an hour 2 = 150°, and the line drawn by the real-time detection of back curvature within half an hour is a straight line with the same degree increasing with time, so the fatigue degree value of employee A after sitting for a long time n in the formula 1 =10,n 2 = 5, when the coefficient value k = 1, the number of times that employee A needs to stretch his body after sitting for a long time Second-rate.
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