A Real-Time Exoskeleton Control Strategy for Multiple Gaits Based on Continuous State Variable Driving and MiniRocket Recognition
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5675-9_14
Reference18 articles.
1. Orekhov, G., Ying, F., Luque, J., Lerner, Z.F.: Ankle exoskeleton assistance can improve over-ground walking economy in individuals with cerebral palsy. IEEE Trans. Neural Syst. Rehabil. Eng. 28(2), 461–467 (2020)
2. Qian, Y., et al.: Predictive locomotion mode recognition and accurate gait phase estimation for hip exoskeleton on various terrains. IEEE Robot. Autom. Lett. 7(3), 6439–6446 (2022)
3. Küçüktabak, E.B., et al.: Haptic transparency and interaction force control for a lower limb exoskeleton. IEEE Trans. Robot. 40, 1842–1859 (2024)
4. Jezernik, S., Colombo, G., Morari, M.: Automatic gait-pattern adaptation algorithms for rehabilitation with a 4-DOF robotic orthosis. IEEE Trans. Robot. Autom. 20(3), 574–582 (2004)
5. Gui, K., Liu, H., Zhang, D.: Toward multimodal human robot interaction to enhance active participation of users in gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 25(11), 2054–2066 (2017)
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