Aiming at the walk difficulty and deficient safety encountered by blind people, a smart protective clothing was proposed from the perspective of intelligent clothing design. To highlight the visibility of the wearers, reflective strips were added on the chest, waist and wrist of clothing, and detachable airbags were equipped on the neck, crotch, elbow and knee to provide protection. In addition, starting from the daily travel needs of the blinds, embedded sensor systems were used for path way exploration, fall detection and protection, and for warning when falling without standing up. The eigenvalue extraction method based on support-vector machine was used to determine the threshold value for fall judgment. The results show that compared with ordinary clothing, the comfort of the protective clothing is poor in heaviness and looseness, and the overall comfort score is 0.14 lower under the seven point system. The clothing achieves "good" score in sending warning signals in the dim environment within 20 m, and the recognition of the clothing pathfinding function to the side obstacles reaches 100%. The sensor acceleration and angular velocity threshold is 27.44 m/s2 and 60 (°)/s with a success detect rate of 100%, and under the situation where none standing up is detected, the guardian of the wearer will be informed through short message and web page display.
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