Shanhai Jin

Dr. Shanhai Jin

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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12 October 2016 in IEEE Transactions on Neural Systems and Rehabilitation Engineering
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Journal Article
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SJShanhai Jin
Shanhai Jin
NINoriyasu Iwamoto
Noriyasu Iwamoto
KHKazunobu Hashimoto
Kazunobu Hashimoto
MYMotoji Yamamoto
Motoji Yamamoto
This paper presents a new soft wearable robotic suit for energy-efficient walking in daily activities for elderly persons. The presented robotic suit provides a small yet effective assistive force for hip flexion through winding belts that include elastic elements. In addition, it does not restrict the range of movement in the lower limbs. Moreover, its structure is simple and lightweight, and thus wearers can easily take the device on and off by themselves. Experimental results on nine elderly subjects (age = 74.2±3.7 years) show that the robotic suit worn and powered on (PON) significantly reduced energy expenditure by an average of 5.9% compared with the condition of worn but powered off (POFF). Furthermore, compared with the POFF condition, there was a significant improvement in gait characteristics in the PON condition for all subjects.

1 May 2012 in Advanced Robotics
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Journal Article
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SJShanhai Jin
Shanhai Jin
RKRyo Kikuuwe
Ryo Kikuuwe
MYMotoji Yamamoto
Motoji Yamamoto
This paper presents a sliding mode filter for removing noise. It effectively removes impulsive noise and highfrequency noise, producing a smaller phase lag than linear filters. In addition, it is l...

3 December 2019 in IEEE Transactions on Circuits and Systems II: Express Briefs
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Journal Article
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XXXiaogang Xiong
Xiaogang Xiong
RKRyo Kikuuwe
Ryo Kikuuwe
Shyam KamalShyam Kamal
Shyam Kamal
SJShanhai Jin
Shanhai Jin
This paper proposes new discrete-time algorithms of the super-twisting observer and the twisting controller to be applied to second-order systems. The algorithms are based on the full implicit-Euler discretization, which contributes to the elimination of chattering. Proofs of some stability properties of the discretized twisting controller are also provided. Simulations show that, as compared to traditional explicit-Euler schemes, the proposed scheme avoids the chattering both in trajectory tracking output and control input in the presence of external disturbances.

1 July 2014 in Advanced Robotics
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Journal Article
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SJShanhai Jin
Shanhai Jin
RKRyo Kikuuwe
Ryo Kikuuwe
MYMotoji Yamamoto
Motoji Yamamoto
In position control of mechatronic devices, velocity feedback is important for injecting additional damping to avoid low-frequency fluctuation around desired trajectories. In practice, velocity signal is often obtained by finite difference of position signal from an optical encoder. However, such a numerical differentiation produces high-frequency noise by magnifying quantization error contained in the position signal. As a result, the controller may produce high-frequency vibration. This paper presents a new noise-reduction discrete-time filter based on sliding mode and adaptive windowing. The presented filter is an improved version of a sliding mode filter by Jin et al. (2012), with including adaptive windowing of which the window size is determined in a similar way to that of a discrete-time adaptive windowing differentiator by Janabi-Sharifi et al. (2000). The presented filter is then applied to a position control of a mechatronic device for improving velocity feedback. Experimental results show that the presented filter provides better velocity feedback than its previous version, Janabi-Sharifi et al.’s differentiator, and combinations of these two filters.

23 August 2019 in Asian Journal of Control
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Journal Article
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XXXiaogang Xiong
Xiaogang Xiong
SKShyam Kamal
Shyam Kamal
SJShanhai Jin
Shanhai Jin

4 March 2021 in Journal of Mechanisms and Robotics
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Journal Article
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QCQiang Chen
Qiang Chen
SGShijie Guo
Shijie Guo
LSLei Sun
Lei Sun
QLQiming Liu
Qiming Liu
SJShanhai Jin
Shanhai Jin
The optimization of the assistive force of a soft exosuit is crucial to the assistive effect. In this paper, an inertial measurement unit (IMU)-based optimization controller was designed to provide effective hip extension and flexion assistance for a soft hip-assistive exosuit. The parameters of the assistive profiles that were defined by two functions were approximatively estimated based on an analysis of biological hip power, and then optimized in real time using the hip angles measured by two IMUs bound to the thighs of the wearer. The peak and offset timings were determined using the parameters of the previous gait, while the start and stop points were determined from those of the current gait. Confirmation experiment was conducted in which four subjects were tested to demonstrate the validity of the optimization by applying the optimized parameters to the soft exosuit developed by the authors' group. Two of the subjects completed the outdoor walking test at a self-determined pace while carrying a load of 15 kg. All the subjects conducted the walking test on a treadmill at a constant speed of 1.53 m/s with the same load. The results showed that the proposed optimization controller worked well without considering individual differences. In the outdoor walking test, the wearer's natural gait could be maintained by applying the optimized assistive forces. In the treadmill walking test, metabolic rate with assistance turned on was reduced by 8.53 ± 2.65% (average ± SEM) compared with the result of assistance turned off.