Articles | Volume 14, issue 2
https://doi.org/10.5194/ms-14-315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/ms-14-315-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Gait analysis algorithm for lower limb rehabilitation robot applications
Li Zheng
CORRESPONDING AUTHOR
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Tao Song
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Shanghai Golden Arrow Robot Technology Co., Ltd, 701, Building 3, No. 377 Shanlian Road, Baoshan District, Shanghai 200444, China
Related authors
No articles found.
Haojun Zhang, Tao Song, and Leigang Zhang
Mech. Sci., 14, 503–518, https://doi.org/10.5194/ms-14-503-2023, https://doi.org/10.5194/ms-14-503-2023, 2023
Short summary
Short summary
To enable the control system to provide minimal assistance and apply different rehabilitation stages according to the subject's performance, this paper proposes a motion-trend-based assistance control strategy. The preliminary experimental results demonstrate that the proposed control strategy works well to quickly adjust the assistance to the subject's motor performance and quickly reduce the assistance when the subject tends to actively participate in the exercise.
Related subject area
Subject: Mechanisms and Robotics | Techniques and Approaches: Experiment and Best Practice
Design and performance analysis of the 4UPS-RRR parallel ankle rehabilitation mechanism
Visual simultaneous localization and mapping (vSLAM) algorithm based on improved Vision Transformer semantic segmentation in dynamic scenes
Assistance control strategy for upper-limb rehabilitation robot based on motion trend
Experimental study on fingertip friction perception characteristics on ridged surfaces
Wearable ankle assistance robot for a human walking with different loads
A vision-based robotic system following the human upper-limb sewing action
Obstacle-avoidance path planning based on the improved artificial potential field for a 5 degrees of freedom bending robot
Development of a force-field-based control strategy for an upper-limb rehabilitation robot
Assessment of force control for surface finishing – an experimental comparison between Universal Robots UR10e and FerRobotics active contact flange
Characteristics of the Received Signal of an Ultrasonic Sensor Installed in a Chamber with Micro-Leakage
Crushing mechanism of a mobile pellet harvester
Design and analysis of an innovative flapping wing micro aerial vehicle with a figure eight wingtip trajectory
Development of a novel flapping wing micro aerial vehicle with elliptical wingtip trajectory
Design of a robot-assisted exoskeleton for passive wrist and forearm rehabilitation
Design and hardware selection for a bicycle simulator
Design and evaluation of a continuum robot with extendable balloons
A novel 5-DOF high-precision compliant parallel mechanism for large-aperture grating tiling
Development of a lower extremity wearable exoskeleton with double compact elastic module: preliminary experiments
Influence of gear loss factor on the power loss prediction
Experimental tests on operation performance of a LARM leg mechanism with 3-DOF parallel architecture
Fatigue testing of flexure hinges for the purpose of the development of a high-precision micro manipulator
An articulated handle to improve the ergonomic performance of robotic dextrous instruments for laparoscopic surgery
Devices for accurate placement of epidural Tuohy needle for Anaesthesia administration
Power-free bistable threshold accelerometer made from a carbon nanotube framework
Origami-like creases in sheet materials for compliant mechanism design
Review article: locomotion systems for ground mobile robots in unstructured environments
Kan Shi, Zongjia Wang, Changtao Yan, and Zhiwei Wang
Mech. Sci., 15, 417–430, https://doi.org/10.5194/ms-15-417-2024, https://doi.org/10.5194/ms-15-417-2024, 2024
Short summary
Short summary
In order to lessen the impact on the team of rehabilitation practitioners and provide patients with a higher-quality rehabilitation process, an ankle rehabilitation robot based on a parallel mechanism is proposed. The feasibility of the ankle rehabilitation robot proposed in this paper is proven by analysis, which lays a foundation for future human–machine experiments. It can act as a reference for future research of the ankle rehabilitation mechanism.
Mengyuan Chen, Hangrong Guo, Runbang Qian, Guangqiang Gong, and Hao Cheng
Mech. Sci., 15, 1–16, https://doi.org/10.5194/ms-15-1-2024, https://doi.org/10.5194/ms-15-1-2024, 2024
Short summary
Short summary
The proposed VTD-SLAM algorithm has the following advantages. (1) A multiclass feature enhancement and multiclass feature guidance semantic segmentation network (MSNET) is proposed to improve the semantic segmentation ability of dynamic objects. (2) Optimal neighbor pixel matching is used to complete the image of the deleted region. Our method can effectively solve the influence of dynamic objects, so that the SLAM system can operate effectively.
Haojun Zhang, Tao Song, and Leigang Zhang
Mech. Sci., 14, 503–518, https://doi.org/10.5194/ms-14-503-2023, https://doi.org/10.5194/ms-14-503-2023, 2023
Short summary
Short summary
To enable the control system to provide minimal assistance and apply different rehabilitation stages according to the subject's performance, this paper proposes a motion-trend-based assistance control strategy. The preliminary experimental results demonstrate that the proposed control strategy works well to quickly adjust the assistance to the subject's motor performance and quickly reduce the assistance when the subject tends to actively participate in the exercise.
Liyong Wang, Li Yang, Le Li, Jianpeng Wu, and Qian Zou
Mech. Sci., 14, 463–477, https://doi.org/10.5194/ms-14-463-2023, https://doi.org/10.5194/ms-14-463-2023, 2023
Short summary
Short summary
The development of bionic skin has always been a challenging scientific research problem. A novel experimental method is proposed for investigating fingertip friction perception characteristics. The results show that the tactile perception accuracy can be improved by changing the surface texture and lubrication conditions. The method can provide peer experience for revealing tactile perception mechanisms and can also provide theoretical guidance for the research of bionic skin.
Junqiang Li, Kuan Yang, and Dong Yang
Mech. Sci., 14, 429–438, https://doi.org/10.5194/ms-14-429-2023, https://doi.org/10.5194/ms-14-429-2023, 2023
Short summary
Short summary
A wearable ankle assisted robot is developed to meet the demand for ankle assistance during human walking. The active energy storage mechanism in the robot can realize the storage and release of energy and realize the application of a low-power motor to provide large assisted force. The experimental results show that the net metabolic cost of the participants is reduced by averages of 5.30 %, 5.67 %, and 4.84 % with 0, 4, and 8 kg loads respectively.
Liming Zhang, Xiaohua Wang, Haoyi Wang, and Pengfei Li
Mech. Sci., 14, 347–359, https://doi.org/10.5194/ms-14-347-2023, https://doi.org/10.5194/ms-14-347-2023, 2023
Short summary
Short summary
This paper proposes a robot following method to follow the sewing action of human upper limbs. The purpose of this paper is to demonstrate that robots can assist workers in the future. Compared with the visual servo method, the accuracy is much improved.
Quansheng Jiang, Kai Cai, and Fengyu Xu
Mech. Sci., 14, 87–97, https://doi.org/10.5194/ms-14-87-2023, https://doi.org/10.5194/ms-14-87-2023, 2023
Short summary
Short summary
Traditional path-planning algorithms for bending robots are often a sequence of multiple line segments and an unsmoothed curve, which causes a discontinuous robot motion. A smooth path can ensure continuous motion. We propose an improved artificial potential field-based path-planning method based on the idea of a rapidly exploring random tree (RRT) algorithm, reducing the length of and smoothing the path, thus solving the path-planning problem of a multi-degrees-of-freedom (DOF) bending robot.
Jiasheng Pan, Leigang Zhang, and Qing Sun
Mech. Sci., 13, 949–959, https://doi.org/10.5194/ms-13-949-2022, https://doi.org/10.5194/ms-13-949-2022, 2022
Short summary
Short summary
Robot-assisted rehabilitation has proven to be effective for improving the motor performance of patients with neuromuscular injuries. Therefore, the main purpose of this paper is to present a new patient-cooperative control framework for an end-effector upper-limb rehabilitation robot that provides robot-assisted training for individuals with neuromuscular disorders. The feasibility of the proposed control scheme is validated via training experiments using five healthy subjects.
Stefan Gadringer, Hubert Gattringer, and Andreas Mueller
Mech. Sci., 13, 361–370, https://doi.org/10.5194/ms-13-361-2022, https://doi.org/10.5194/ms-13-361-2022, 2022
Short summary
Short summary
We introduce different test scenarios and set-ups for a force control assessment. The force control of Universal Robots (UR10e) and FerRobotics (ACF-K 109/04) are evaluated. A force/torque sensor, mounted below a work piece, measures the applied force by the UR or by the ACF. Results for both UR and ACF force control are presented for varying desired contact velocities and forces. These results show the advantage of the ACF-K 109/04 over the UR10e force control for highly dynamic scenarios.
Wonjun Seo, Seokyeon Im, and Geesoo Lee
Mech. Sci., 12, 1051–1060, https://doi.org/10.5194/ms-12-1051-2021, https://doi.org/10.5194/ms-12-1051-2021, 2021
Short summary
Short summary
This study is focused on analyzing signal changes according to internal flow and temperature change by generating micro-leakage, unlike previous studies that experimented with no flow inside a chamber. In addition, a new application method utilizing a phase shift by post-processing the ultrasonic reception signal was proposed. By using the ultrasonic sensor, a different method was proposed for the measurement of micro-leakage of gaseous fuel that relied on the existing pressure sensor.
Yanyan Ge, Zichao Su, Maohua Xiao, Min Kang, Ruyi Wang, and Qin Zeng
Mech. Sci., 12, 725–733, https://doi.org/10.5194/ms-12-725-2021, https://doi.org/10.5194/ms-12-725-2021, 2021
Short summary
Short summary
This study proposed and verified a new idea for the crushing system of a mobile pellet harvester. As the key components of the crushing mechanism, the theoretical design calculation was given, and Ansys software was used to verify the feasibility of the design, specifically by computing the strength and stiffness. Field tests were conducted, and the test results met the requirements. This design can promote the further development of a mobile pellet harvester.
Shan Jiang, Yong Hu, Qiang Li, Long Ma, Yang Wang, Xiaoqin Zhou, and Qiang Liu
Mech. Sci., 12, 603–613, https://doi.org/10.5194/ms-12-603-2021, https://doi.org/10.5194/ms-12-603-2021, 2021
Short summary
Short summary
An innovative flapping wing micro aerial vehicle (FWMAV), forming a figure eight wingtip trajectory, which can achieve complex composite motions of flapping, twisting, and swinging is presented in this paper. Along with the design concept of reducing any possible weight and size, the aircraft was designed with classical and reliable mechanical components. Then, experiments were conducted to test the FWMAV aerodynamic efficiency with a complex figure eight wingtip trajectory.
Qiang Liu, Qiang Li, Xiaoqin Zhou, Pengzi Xu, Luquan Ren, and Shengli Pan
Mech. Sci., 10, 355–362, https://doi.org/10.5194/ms-10-355-2019, https://doi.org/10.5194/ms-10-355-2019, 2019
Mehmet Erkan Kütük, Lale Canan Dülger, and Memik Taylan Daş
Mech. Sci., 10, 107–118, https://doi.org/10.5194/ms-10-107-2019, https://doi.org/10.5194/ms-10-107-2019, 2019
Short summary
Short summary
This paper presents a new exoskeleton design for wrist and forearm rehabilitation. The contribution of this study is to offer a methodology which shows how to adapt a serial manipulator that reduces the number of actuators used in exoskeleton design for the rehabilitation. The system offered is a combination of end-effector- and exoskeleton-based devices. The passive exoskeleton is attached to the end effector of the manipulator, which provides motion for the purpose of rehabilitation process.
Georgios Dialynas, Riender Happee, and Arend L. Schwab
Mech. Sci., 10, 1–10, https://doi.org/10.5194/ms-10-1-2019, https://doi.org/10.5194/ms-10-1-2019, 2019
Short summary
Short summary
With the resurgence in bicycle ridership in the last decade, a better understanding of bicycle rider
behavior is important in accommodating increasing bicycle traffic as well as reducing accidents that come along with it. At TU Delft we have designed a fixed-base bicycle simulator to understand how bicycle rider's interact with other road users in a safe virtual environment.
Efe Yamac Yarbasi and Evren Samur
Mech. Sci., 9, 51–60, https://doi.org/10.5194/ms-9-51-2018, https://doi.org/10.5194/ms-9-51-2018, 2018
Short summary
Short summary
This article presents a novel continuum robot actuated by two extendable balloons. As inflated, the balloons apply a force on the wall of the tip, pushing the robot forward. The contribution of this study is the introduction of a novel actuation mechanism for soft robots to have extreme elongation (2000 %) in order to be navigated in substantially long and narrow environments.
Zhongxi Shao, Shilei Wu, Jinguo Wu, and Hongya Fu
Mech. Sci., 8, 349–358, https://doi.org/10.5194/ms-8-349-2017, https://doi.org/10.5194/ms-8-349-2017, 2017
Yi Long, Zhi-jiang Du, Chao-feng Chen, Wei-dong Wang, and Wei Dong
Mech. Sci., 8, 249–258, https://doi.org/10.5194/ms-8-249-2017, https://doi.org/10.5194/ms-8-249-2017, 2017
Short summary
Short summary
Compared to the traditional pHRI measurement approaches, the proposed method arranged the sensors in the mechanical joint instead of the connection cuff. This kind of architecture has compact architecture and improves the wearing comfort, which can adapt to various operators and is convenient to be applied in the wearable exoskeleton. The performance of the DEM will be studied in the following work and human-exoskeleton coordination control strategies will be investigated in future work.
C. M. C. G. Fernandes, P. M. T. Marques, R. C. Martins, and J. H. O. Seabra
Mech. Sci., 6, 81–88, https://doi.org/10.5194/ms-6-81-2015, https://doi.org/10.5194/ms-6-81-2015, 2015
Short summary
Short summary
The importance of the gear loss factor in the power loss predictions was put in evidence comparing the predictions with experimental results.
It was concluded that the gear loss factor is a decisive factor to accurately predict the power loss.
Different formulations proposed in the literature were compared and it was shown that only few were able to yield satisfactory correlations with experimental results.
M. F. Wang, M. Ceccarelli, and G. Carbone
Mech. Sci., 6, 1–8, https://doi.org/10.5194/ms-6-1-2015, https://doi.org/10.5194/ms-6-1-2015, 2015
Short summary
Short summary
In this paper, 1) We design and built a prototype of a LARM tripod leg mechanism with low-cost easy-operation features that can be useful in a biped locomotor; 2) We present an experimental layout for investigating operational performance of the built prototype; 3) We characterize and analyze the system behaviour by follow a prescribed step movement of the foot platform under consideration with human walking.
I. Ivanov and B. Corves
Mech. Sci., 5, 59–66, https://doi.org/10.5194/ms-5-59-2014, https://doi.org/10.5194/ms-5-59-2014, 2014
B. Herman, A. Devreker, F. Richer, A. Hassan Zahraee, and J. Szewczyk
Mech. Sci., 5, 21–28, https://doi.org/10.5194/ms-5-21-2014, https://doi.org/10.5194/ms-5-21-2014, 2014
N. Vaughan, V. N. Dubey, M. Y. K. Wee, and R. Isaacs
Mech. Sci., 5, 1–6, https://doi.org/10.5194/ms-5-1-2014, https://doi.org/10.5194/ms-5-1-2014, 2014
J. D. Tanner and B. D. Jensen
Mech. Sci., 4, 397–405, https://doi.org/10.5194/ms-4-397-2013, https://doi.org/10.5194/ms-4-397-2013, 2013
K. C. Francis, J. E. Blanch, S. P. Magleby, and L. L. Howell
Mech. Sci., 4, 371–380, https://doi.org/10.5194/ms-4-371-2013, https://doi.org/10.5194/ms-4-371-2013, 2013
L. Bruzzone and G. Quaglia
Mech. Sci., 3, 49–62, https://doi.org/10.5194/ms-3-49-2012, https://doi.org/10.5194/ms-3-49-2012, 2012
Cited articles
Ahmed, F., Paul, P. P., and Gavrilova, M. L.: Kinect-based gait
recognition using sequences of the most relevant joint relative angles, Journal of Winter School of Computer Graphics, 23, 147–156, 2015.
Amitrano, F., Coccia, A., Ricciardi, C., Donisi, L., Cesarelli, G.,
Capodaglio, E. M., and D'Addio, G.: Design and Validation of an
E-Textile-Based Wearable Sock for Remote Gait and Postural Assessment,
Sensors, 20, 6691, https://doi.org/10.3390/s20226691, 2020.
Baghdadi, A., Cavuoto, L. A., and Crassidis, J. L.: Hip and Trunk Kinematics
Estimation in Gait Through Kalman Filter Using IMU Data at the Ankle, IEEE
Sens. J., 18, 4253–4260, https://doi.org/10.1109/jsen.2018.2817228, 2018.
Bayón, C., Ramírez, O., Serrano, J. I., Del Castillo, M. D.,
Pérez-Somarriba, A., Belda-Lois, J. M., Martínez-Caballero, I., Lerma-Lara,
S., Cifuentes, C., Frizera, A., and Rocon, E.: Development and evaluation of
a novel robotic platform for gait rehabilitation in patients with Cerebral
Palsy: CPWalker, Robot. Auton. Syst., 91, 101–114, https://doi.org/10.1016/j.robot.2016.12.015, 2017.
Bejarano, N. C., Ambrosini, E., Pedrocchi, A., Ferrigno, G., Monticone, M.,
and Ferrante, S.: A Novel Adaptive, Real-Time Algorithm to Detect Gait
Events From Wearable Sensors, IEEE T. Neur. Sys. Reh., 23, 413–422, https://doi.org/10.1109/tnsre.2014.2337914, 2015.
Buckley, C., Mico-Amigo, M. E., Dunne-Willows, M., Godfrey, A., Hickey, A.,
Lord, S., Rochester, L., Del Din, S., and Moore, S. A.: Gait Asymmetry
Post-Stroke: Determining Valid and Reliable Methods Using a Single
Accelerometer Located on the Trunk, Sensors, 20, 37, https://doi.org/10.3390/s20010037,
2020.
Cifuentes, C. A. and Frizera, A.: Human-Robot Interaction Strategies for Walker-Assisted Locomotion, in: Springer Tracts in Advanced Robotics, Springer Cham, 115, https://doi.org/10.1007/978-3-319-34063-0, 2016.
Costilla-Reyes, O., Vera-Rodriguez, R., Scully, P., and Ozanyan, K. B.:
Analysis of Spatio-Temporal Representations for Robust Footstep Recognition
with Deep Residual Neural Networks, IEEE T. Pattern Anal., 41, 285–296, https://doi.org/10.1109/tpami.2018.2799847, 2019.
Duong, H. T. and Suh, Y. S.: Human Gait Tracking for Normal People and
Walker Users Using a 2D LiDAR, IEEE Sens. J., 20, 6191–6199, https://doi.org/10.1109/jsen.2020.2975129, 2020.
Eizentals, P., Katashev, A., and Oks, A.: Gait analysis by using Smart
Socks system, IOP Conf. Ser.-Mat. Sci., 459, 012037, https://doi.org/10.1088/1757-899x/459/1/012037, 2018.
Fudickar, S., Stolle, C., Volkening, N., and Hein, A.: Scanning Laser
Rangefinders for the Unobtrusive Monitoring of Gait Parameters in
Unsupervised Settings, Sensors, 18, 3424, https://doi.org/10.3390/s18103424, 2018.
Gurchiek, R. D., Garabed, C. P., and McGinnis, R. S.: Gait event detection
using a thigh-worn accelerometer, Gait Posture, 80, 214–216, https://doi.org/10.1016/j.gaitpost.2020.06.004, 2020.
Hutchison, L., Scharfbillig, R., Uden, H., and Bishop, C.: The effect of
footwear and foot orthoses on transverse plane knee motion during running –
A pilot study, J. Sci. Med. Sport, 18, 748–752, https://doi.org/10.1016/j.jsams.2014.11.007, 2015.
Hynes, A., Czarnuch, S., Kirkland, M. C., and Ploughman, M.: Spatiotemporal
Gait Measurement With a Side-View Depth Sensor Using Human Joint Proposals,
IEEE J. Biomed. Health, 25, 1758–1769, https://doi.org/10.1109/jbhi.2020.3024925, 2021.
Iwai, M., Koyama, S., Tanabe, S., Osawa, S., Takeda, K., Motoya, I.,
Sakurai, H., Kanada, Y., and Kawamura, N.: The validity of spatiotemporal
gait analysis using dual laser range sensors: a cross-sectional study,
Archives of Physiotherapy, 9, 3, https://doi.org/10.1186/s40945-019-0055-6, 2019.
Ji, J. C., Guo, S., Song, T., and Xi, F. F.: Design and analysis of a novel
fall prevention device for lower limbs rehabilitation robot, J. Back
Musculoskelet., 31, 169–176, https://doi.org/10.3233/bmr-169765, 2018a.
Ji, Q., Yang, L. L., Li, W., zhou, C. C., and Ye, X. S.: Real-time gait
event detection in a real-world environment using a laser-ranging sensor and
gyroscope fusion method, Physiol. Meas., 39 125003, https://doi.org/10.1088/1361-6579/aae7ee, 2018b.
Kotiadis, D., Hermens, H. J., and Veltink, P. H.: Inertial Gait Phase
Detection for control of a drop foot stimulator Inertial sensing for gait
phase detection, Med. Eng. Phys., 32, 287–297, https://doi.org/10.1016/j.medengphy.2009.10.014, 2010.
Li, C. Y., He, Y., Chen, T. C., Chen, X. A., and Tian, S. L.: Real-Time Gait
Event Detection for a Lower Extremity Exoskeleton Robot by Infrared Distance
Sensors, IEEE Sens. J., 21, 27116–27123, https://doi.org/10.1109/jsen.2021.3111212, 2021.
Li, J., Wang, Z. L., Qiu, S., Zhao, H. Y., Wang, Q., Plettemeier, D., Liang,
B., and Shi, X.: Using Body Sensor Network to Measure the Effect of
Rehabilitation Therapy on Improvement of Lower Limb Motor Function in
Children With Spastic Diplegia, IEEE T. Instrum. Meas., 69, 9215–9227, https://doi.org/10.1109/tim.2020.2997545, 2020.
Li, M. T., Deng, J., Zha, F. S., Qiu, S. Y., Wang, X., and Chen, F.: Towards
Online Estimation of Human Joint Muscular Torque with a Lower Limb
Exoskeleton Robot, Appl. Sci.-Basel, 8, 1610, https://doi.org/10.3390/app8091610, 2018.
Lim, C. D., Wang, C. M., Cheng, C. Y., Chao, Y., Tseng, S. H., and Fu, L.
C.: Sensory Cues Guided Rehabilitation Robotic Walker Realized by Depth
Image-Based Gait Analysis, IEEE T. Autom. Sci. Eng., 13, 171–180, https://doi.org/10.1109/tase.2015.2494067, 2016.
Liu, T., Inoue, Y., Shibata, K., Shiojima, K., and Ieee: Three-dimensional
Lower Limb Kinematic and Kinetic Analysis Based on a Wireless Sensor System, in: IEEE International Conference on Robotics and Automation (ICRA), Shanghai, China, 9–13 May 2011, IEEE, 842–847, https://doi.org/10.1109/ICRA.2011.5979856, 2011.
Matjačić, Z., Zadravec, M., and Olenšek, A.: An effective balancing response
to lateral perturbations at pelvis level during slow walking requires
control in all three planes of motion, J. Biomech., 60, 79–90, https://doi.org/10.1016/j.jbiomech.2017.06.020, 2017.
Piezzo, C., Leme, B., Hirokawa, M., and Suzuki, K.: Gait measurement by a
mobile humanoid robot as a walking trainer, in: 2017 26th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Lisbon, Portugal, 28 August–1 September 2017, IEEE, 1084–1089, https://doi.org/10.1109/ROMAN.2017.8172438, 2017.
Prakash, C., Kumar, R., and Mittal, N.: Recent developments in human gait
research: parameters, approaches, applications, machine learning techniques,
datasets and challenges, Artif. Intell. Rev., 49, 1–40, https://doi.org/10.1007/s10462-016-9514-6, 2018.
Qian, Z. Q. and Bi, Z. M.: Recent Development of Rehabilitation Robots, Adv.
Mech. Eng., 7, 11, https://doi.org/10.1155/2014/563062, 2015.
Sakdarakse, S. and Somboon, P.: Development of LIDAR Based Gait Training
System with Gait Assessment, in: 2020 17th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Phuket, Thailand, 24–27 June 2020, IEEE, 263–266, 2020.
Shi, D., Zhang, W. X., Ding, X. L., and Sun, L.: Parametric generation of
three-dimensional gait for robot-assisted rehabilitation, Biol. Open, 9, bio047332, https://doi.org/10.1242/bio.047332, 2020.
Singh, M. S., Pondenkandath, V., Zhou, B., Lukowicz, P., and Liwicki, M.: Transforming Sensor Data to the Image Domain for Deep Learning – an
Application to Footstep Detection, 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, USA, 14–19 May 2017, IEEE, 2665–2672, https://doi.org/10.1109/IJCNN.2017.7966182, 2017.
Tanabe, S., Ii, T., Koyama, S., Saitoh, E., Itoh, N., Ohtsuka, K., Katoh,
Y., Shimizu, A., and Tomita, Y.: Spatiotemporal treadmill gait measurements
using a laser range scanner: feasibility study of the healthy young adults,
Physiol. Meas., 38, N81–N92, https://doi.org/10.1088/1361-6579/aa63d1, 2017.
Vera-Rodriguez, R., Mason, J. S. D., Fierrez, J., and Ortega-Garcia, J.:
Analysis of spatial domain information for footstep recognition, IET Comput.
Vis., 5, 380–388, https://doi.org/10.1049/iet-cvi.2010.0189, 2011.
Wagner, J., Szymanski, M., Blazkiewicz, M., and Kaczmarczyk, K.: Methods for
Spatiotemporal Analysis of Human Gait Based on Data from Depth Sensors,
Sensors, 23, 1218, https://doi.org/10.3390/s23031218, 2023.
Wang, C., Kim, Y., Shin, H., and Min, S. D.: Preliminary Clinical
Application of Textile Insole Sensor for Hemiparetic Gait Pattern Analysis,
Sensors, 19, 3950, https://doi.org/10.3390/s19183950, 2019.
Xu, W. X., Huang, J., and Cheng, L.: A Novel Coordinated Motion Fusion-Based
Walking-Aid Robot System, Sensors, 18, 2761, https://doi.org/10.3390/s18092761, 2018.
Ye, J., Wu, H. D., Wu, L. S., Long, J. J., Zhang, Y. L., Chen, G., Wang, C.
B., Luo, X., Hou, Q. H., and Xu, Y.: An Adaptive Method for Gait Event
Detection of Gait Rehabilitation Robots, Front. Neurorobotics, 14, 38,
https://doi.org/10.3389/fnbot.2020.00038, 2020.
Yorozu, A. and Takahashi, M.: Gait Measurement for Human Behavior Estimation
Against Autonomous Mobile Robot, in: 13th International Conference on
Intelligent Autonomous Systems (IAS), edited by: Menegatti, E., Michael, N., Berns, K., and Yamaguchi, H., Springer, Cham, 302, 1021–1033, https://doi.org/10.1007/978-3-319-08338-4_74, 2016.
Yorozu, A. and Takahashi, M.: Estimation of body direction based on gait for
service robot applications, Robot. Auton. Syst., 132, 103603, https://doi.org/10.1016/j.robot.2020.103603, 2020.
Yorozu, A., Moriguchi, T., and Takahashi, M.: Improved Leg Tracking
Considering Gait Phase and Spline-Based Interpolation during Turning Motion
in Walk Tests, Sensors, 15, 22451–22472, https://doi.org/10.3390/s150922451, 2015a.
Yorozu, A., Nishiguchi, S., Yamada, M., Aoyama, T., Moriguchi, T., and
Takahashi, M.: Gait Measurement System for the Multi-Target Stepping Task
Using a Laser Range Sensor, Sensors, 15, 11151–11168, https://doi.org/10.3390/s150511151, 2015b.
Ziegler, J., Reiter, A., Gattringer, H., and Muller, A.: Simultaneous
identification of human body model parameters and gait trajectory from 3D
motion capture data, Med. Eng. Phys., 84, 193–202, https://doi.org/10.1016/j.medengphy.2020.08.009, 2020.
Short summary
In this paper, a gait analysis algorithm for a lower limb rehabilitation robot is proposed. The algorithm realizes the division of gait temporal information and the design of a gait spatiotemporal parameter algorithm based on lidar. A spatial parameter-splicing algorithm based on a time series is proposed, which effectively reduces the influence of errors on gait parameters. Based on the gait algorithm, aiming at real-time algorithm performance, a dynamic window method is proposed.
In this paper, a gait analysis algorithm for a lower limb rehabilitation robot is proposed. The...