Force-IMU Fusion-Based Sensing Acupuncture Needle and Quantitative Analysis System for Acupuncture Manipulations
Peng Tian, Kang Yu, Tianyun Jiang, Yuqi Wang, Haiying Zhang, Hao Yang, Yunfeng Wang, Jun Zhang, Shuo Gao, and Junhong Gao

TL;DR
This paper presents a novel sensing system combining force sensors, IMU, and visual data to quantitatively analyze acupuncture needle manipulations, enabling standardized and objective measurement of key parameters.
Contribution
It introduces a fusion-based sensing system for precise, real-time measurement of acupuncture manipulation parameters, advancing standardization in traditional Chinese medicine techniques.
Findings
High-precision detection with 0.45% force nonlinearity error
Displacement RMSE of 1.2 mm
Effective segmentation of needle motion states
Abstract
Acupuncture, one of the key therapeutic methods in Traditional Chinese Medicine (TCM), has been widely adopted in various clinical fields. Quantitative research on acupuncture manipulation parameters is critical to achieve standardized techniques. However, quantitative mechanical detection of acupuncture parameters remains limited. This study establishes a kinematic and dynamic model of acupuncture, identifying key parameters such as lifting-thrusting force, acceleration, velocity, displacement, as well as twirling-rotating angular velocity and angle. To measure these critical parameters, we propose a quantitative system comprising a sensing needle equipped with a force sensor and an inertial measurement unit (IMU), as well as an external camera module to capture image information. By fusing visual and IMU data, we accurately identify the stationary or motion states of the needle,…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
