Wearable data collection system based on multi-sensor fusion and method adopted by system

Abstract

The invention discloses a wearable data collection system based on multi-sensor fusion and a method adopted by the system. The wearable data collection system comprises a mechanical skeleton, wherein the mechanical skeleton comprises a waist bracket (1), thigh connecting rods (2), shank connecting rods (3), ankle joint connecting rods (4) and intelligent shoes (5) which are arranged from top to bottom, wherein a main control box (6) is arranged on the back of the waist bracket (1), and posture instruments (7) are arranged on the main control box (6), the thigh connecting rods (2) and the shank connecting rods (3); the thigh connecting rods (2) and the shank connecting rods (3) are provided with node plates (8); the thigh connecting rods (2), the shank connecting rods (3) and the ankle joint connecting rods (4) are respectively provided with encoders (9). The wearable data collection system and the method are used for accurately measuring the angles of the lower extremity joints and the distribution condition of the pressure of the foot soles when a wearer wearing an exoskeleton robot walks, so that whether the exoskeleton is positioned in the stable walking state or not can be judged, and the current health condition of the wearer can be evaluated.

Description

technical field [0001] The invention relates to the field of wearable rehabilitation medicine, in particular to a wearable data acquisition system and method based on multi-sensor fusion. Background technique [0002] During the walking process of the human body, each joint and muscle completes the corresponding action under the coordination of the corresponding control center. At the same time, it also outputs a lot of information to the outside world, such as the rotation angle of the hip joint, knee joint, and ankle joint, and the rotation angle of the thigh and calf. The electromechanical signals of the foot, the pressure on each main position of the foot, etc. These information characteristics can reflect a person's exercise habits, physical health and other factors to a certain extent, and the detection and analysis of these information has important medical value. For example, in the field of sports rehabilitation, the use of wearable data acquisition systems to coll...

AI Technical Summary

Problems solved by technology

The patent with the publication number CN 205163082 U introduces a wearable device for collecting data on human body movement. By setting capacitive rings in the first and second straps, the first strap measures the capacitance signal of the thigh, and the second strap measures the capacitive signal of the thigh. The strap measures the capacitive signal of the calf, and then processes the capacitive signal to collect the data of the movement state of the lower limbs of the human body. However, the capacitive ring of this method is easily affected by the condition of the human body, such as the sweat of the human body, etc.

The patent with the publication number of CN 104757976 A introduces a human gait analysis method and system based on multi-sensor fusion. The system measures the data in the process of human walking through inertial sensor devices, but the system cannot measure the gait of the human body in the process of walking. The pressure of each part of the bottom

Images