KR-20260067154-A - Walking Pattern Analysis Device

Abstract

According to the gait pattern analysis device of the present invention, the gait pattern analysis device comprises: a wearable part worn by a user; a first sensor part coupled to the wearable part and tracking the gait of a pedestrian; and a second sensor part coupled to a shoe body and measuring pressure applied to the user's foot.

Inventors

• 한원석
• 강민건
• 김지환
• 최윤서
• 김동혁

Assignees

• 한원석
• 강민건
• 김지환
• 최윤서
• 김동혁

Dates

Publication Date

20260512

Application Date

20241105

Claims (8)

1. A wearable part worn by the user; A first sensor unit coupled to a wearable part and tracking a pedestrian's gait; A walking pattern analysis device comprising: a second sensor unit coupled to the main body of the shoe and measuring pressure applied to the user's foot.
2. In paragraph 1, A walking pattern analysis device further comprising a first analysis unit that analyzes the gait tracked by the first sensor unit.
3. In paragraph 1 A walking pattern analysis device further comprising a second analysis unit that analyzes foot pressure measured by the second sensor unit.
4. In Article 1, A walking pattern analysis device further comprising a display unit that displays visual data of a pedestrian's gait, foot pressure distribution, and 3D (3) using an app.
5. In Article 1, A walking pattern analysis device comprising: a providing unit that provides a pre-set treatment plan according to the walking gait of a pedestrian.
6. In Paragraph 3, The above second sensor unit is a gait pattern analysis device characterized by using six pressure sensors to extract load values for each part of the foot.
7. In Paragraph 2, The first sensor unit above includes an IMU (1) composed of an accelerometer, a gyroscope, and a geomagnetic field, and The above-described first analysis unit is a walking pattern analysis device characterized by calculating Roll, ptich, and yaw values based on data transmitted from the IMU (1).
8. The above second analysis unit is a walking pattern analysis device characterized by calculating foot pressure distribution based on data transmitted from the pressure sensor.

Description

Walking Pattern Analysis Device The present invention relates to a walking pattern analysis device. The modern lifestyle, characterized by reduced physical activity and improper walking habits, is causing various musculoskeletal disorders. To address these issues, the development of a walking pattern analysis device has become necessary. This device aims to collect user walking data and, based on this, suggest effective treatment strategies through the analysis of foot pressure distribution and gait. The gait pattern analysis device consists of an IMU (1) sensor and a pressure sensor. The IMU (1) sensor can extract information such as roll, pitch, and yaw through acceleration, gyroscope, and geomagnetism, and through this, can analyze changes in body angle and directionality during walking. The pressure sensor receives foot load data and constructs a foot pressure distribution map to analyze the pressure applied to each part of the sole of the foot. Through such data collection, the device can precisely analyze the user's gait and, through this, intend to suggest a customized treatment plan. Currently, in the process of visualizing gait analysis data, an app provides the pedestrian's gait, foot pressure distribution, and 3D visualization by pressing individual buttons. However, if technology is developed to display these three types of visualization data simultaneously on a single screen, users will be able to understand their walking patterns more intuitively and receive significant assistance in establishing treatment plans. Providing these three visualization tools simultaneously enables precise data fusion, allowing for comprehensive analysis, which is expected to greatly enhance the utility of gait analysis devices. FIG. 1 is a side cross-sectional view showing a walking pattern analysis device according to a preferred embodiment of the present invention. FIG. 2 is an actual photograph showing a walking pattern analysis device according to a preferred embodiment of the present invention. FIG. 3 is an actual photograph showing a walking pattern analysis device according to a preferred embodiment of the present invention. The advantages and features of the present invention and the methods for achieving them will become clear by referring to the embodiments described below in detail together with the accompanying drawings. However, the present invention is not limited to the embodiments disclosed below but may be implemented in various different forms. These embodiments are provided merely to ensure that the disclosure of the present invention is complete and to fully inform those skilled in the art of the scope of the invention, and the present invention is defined only by the scope of the claims. Throughout the specification, the same reference numerals refer to the same components. Hereinafter, the present invention will be described with reference to the drawings for explaining a walking pattern analysis device according to embodiments of the present invention. An IMU (1) that tracks a pedestrian's gait is coupled to the main body of the shoe and includes a pressure sensor (2) that measures pressure applied to the user's foot. It can be used to diagnose or rehabilitate conditions such as plantar fasciitis in pedestrians. A system using the IMU (1) and the pressure sensor (2) can analyze whether excessive pressure is applied to specific parts of the foot or specific foot rotation angles (Roll/Pitch/Yaw) during walking, allowing a physical therapist to objectively monitor foot movements and provide customized treatment. The IMU (1) sensor is attached to the top of the shoe, and since it can accurately detect the tilt and rotation of the foot even when the foot is off the ground, it effectively tracks the walking pattern. The IMU (1) sensor attached to the top of the foot collects acceleration, rotational speed, and geomagnetic data when the user walks. Through this, the direction, angle, and speed changes of the foot moving during walking are detected in real time to identify the specific pattern of the gait. The collected IMU (1) data is transmitted to calculate the Roll, Pitch, and Yaw values of the gait. Based on this, the angle at which the foot tilts, the direction of rotation, and the period of movement are analyzed for each step to evaluate the stability, symmetry, and rhythm of the gait. It includes a foot pressure distribution map that analyzes the foot pressure measured by the pressure sensor (2). Multiple pressure sensors (2) are strategically placed on the sole of the shoe. Generally, they are set to be evenly distributed across the forefoot, midfoot, and heel, and in some cases, additional sensors may be placed in specific areas to collect data more precisely. By analyzing the foot pressure distribution map to identify the areas where pressure is concentrated on the foot, this information is utilized to design a custom-made shoe for the user. For example, if excessive pressure is applied t