A wearable data acquisition system and method based on multi-sensor fusion

Abstract

The invention discloses a wearable data acquisition system and method based on multi-sensor fusion. The system includes a mechanical skeleton, and the mechanical skeleton includes a waist support (1), a thigh link (2), calf link (3), ankle link (4) and smart shoes (5); the back of the waist support (1) is provided with a main control box (6), the main control box (6), Both the thigh link (2) and the calf link (3) are provided with an attitude indicator (7); the thigh link (2) and the calf link (3) are provided with a gusset plate (8); The thigh connecting rod (2), the calf connecting rod (3) and the ankle joint connecting rod (4) are respectively provided with encoders (9). The invention is used for real-time and accurate measurement of the joint angles of the lower limbs and sole pressure distribution of the wearer during the walking process of wearing the exoskeleton robot, to determine whether the exoskeleton is in a stable walking state, and to evaluate the current health status of the wearer.

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