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Sensors
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  • Open Access

17 March 2022

Spine-like Joint Link Mechanism to Design Wearable Assistive Devices

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1
Robotics, University of Science and Technology (UST), Daejon 34113, Korea
2
Robotics R&D Department, Korea Institute of Industrial Technology (KITECH), Ansan 15588, Korea
3
Division of Software, Yonsei University, Wonju 26493, Korea
*
Author to whom correspondence should be addressed.

Abstract

When we develop wearable assistive devices, comfort and support are two main issues that need to be considered. In conventional design approaches, the degree of freedom of the wearer’s joint movements tends to be oversimplified. Accordingly, the wearer’s motion becomes restrained and bone/ligament injuries might occur in case of an unexpected fall. To mitigate these issues, this paper proposes a novel joint link mechanism inspired by a human spine structure as well as functionalities. The key feature of the proposed spine-like joint link mechanism is that hemispherical blocks are concatenated via flexible synthetic fiber lines so that their concatenation stiffness can be adjusted according to a tensile force. This feature has a great potentiality for designing a wearable assistive device that can support aged people’s sit-to-stand action or augment spinal motion by regulating the concatenation stiffness. In addition, the concatenated hemispherical blocks enable the wearer to move his/her joint with full freedom, which in turn increases the wearer’s mobility and prevents joint misalignment. The experimental results with a testbed and a pilot wearer substantiated that the spine-like joint link mechanism can serve as a key component in the design of wearable assistive devices for better mobility.

1. Introduction

Wearable assistive robots have been used for various applications, e.g., quiet balance support for elderly people [1,2,3], gait function rehabilitation for stroke survivors [4,5,6], heavy object lifting for manual workers [7,8,9], mobility augmentation for soldiers in challenging battle fields [10,11,12], and so on. Since the wearable assistive robots have shown great potential in a broad range of applications, many studies are now underway to extend their usage as human assistive devices.
At the early stage of wearable assistive robots, design approaches tended to simplify human joint-link mechanisms. For example, a knee joint was typically simplified as a hinge-type joint with a single degree of freedom (DoF), which in turn restricted thigh and shin movement only into the sagittal plane [13,14,15,16]. Moreover, most of the wearable assistive robots have been made by rigid materials, although they targeted the support of various body parts such as lower-limb [13,14,15,16,17,18,19,20], lower-back [21,22], upper-limb [23,24], and hand [25,26]. The rigidity of the wearable assistive robots might facilitate “enough support” in the sense of force/torque generation, whereas the length of a link could not be changed. Consequently, in addition to the aforesaid sagittal plane restriction, the wearer’s joint-link movement was constrained by a loss of flexibility in length.
The wearer’s constrained joint-link movements are well-exemplified by existing early-designed exoskeletons. Lower-limb exoskeletons such as EXPOS [13], BLEEX [14], HAL [15], eLEGS [16] commonly employed a uniaxial revolute joint model for a wearer’s knee joint, which was simplified to a 1-DoF model. Studies in [18,19,20,21] presented exoskeletons to support a wearer’s lower-back as well as lower-limb. The presented exoskeletons could retain the wearer’s lower-back in an upright position by supporting the lumbar spine with a rigid structure and the wearer’s knee joint was simplified as a hinge-type joint. Under all the constrained design approaches above, kinematic discrepancy between the wearer’s joint and the exoskeleton’s joint movements becomes inevitable.
The kinematic discrepancy between a human wearer and an exoskeleton robot indeed causes somewhat problematic issues. Even though the ranges of motion of hip/knee/ankle joints are rather limited, they are able to move in the medial–lateral direction as well as the anterior–posterior direction. Namely, the hip/knee/ankle joints are not perfect spherical joints, but their movements are still closer to those of the spherical joints [27,28]. Therefore, the kinematic discrepancy can cause unnatural walking and discomfort in the wearer during daily activities. Moreover, the reduced DoF due to the simplified kinematics exposes the wearer to serious joint or ligament injuries when the wearer tries bending/leaning toward the medial–lateral direction [28].
Wearable robots made by soft materials have been thought to be a feasible solution to alleviate both kinematic discrepancy and joint misalignment problems. Accordingly, various soft-type wearable robots have been developed, e.g., exo-suit [10], exo-glove [29], soft power suit [30], inflatable soft wearable robot [31,32], and so on. Compared to the rigid-type wearable robots, the soft-type ones constrain natural joint movement less, which in turn reduces discomfort caused by joint misalignment. The limitation of the soft-type wearable robots is, however, that they generate less assistive force/torque than the rigid-type. For instance, the soft-type wearable robots encourage a 10 to 100 percent increment in original force/torque generated by the wearer’s muscle; by contrast, the rigid-type devices produce a 100 to 900 percent increment [33]. Due to this limitation, the soft-type devices have been narrowly applied, e.g., to wrist support, forearm assistance, ankle support, etc.
To mitigate the above-mentioned issues of rigid/soft-type wearable robots, this paper proposes a novel joint link mechanism inspired by the dexterous characteristics of a human spine. Specifically, the distinguished feature of the proposed mechanism is that multiple hemispherical blocks are concatenated through synthetic fiber lines and rubber strips to functionally mimic the vertebrae, tendons, and ligaments of the spine; accordingly, it is referred to in this paper as a spine-like joint link mechanism (SJLM). The primary purpose of this study is to design and test the feasibility and efficacy of a novel joint-link mechanism mimicking the human spine. This study was initiated for the ultimate purpose of developing wearable assistive devices, for which the proposed SJLM is to serve as a key component. Throughout this paper, therefore, we mainly focus on explaining the design and fabrication of the SJLM, and feasible applications are discussed as well.
This paper is organized as follows. In Section 2, the design of the SJLM is presented. Specifically, component design, fabrication, and dexterous functionalities are explained. Section 3 discusses the input–output relationship of the SJLM, which corresponds to a tensile force under a hydraulic actuation versus an assistive force generated at an end-link part. Section 4 presents the experimental procedures and results to substantiate the input–output relationship and the maximum supporting capabilities. Two feasible SJLM applications are introduced as well. Section 5 is the conclusion of this paper.

4. Experiments and Results

The following three experiments were performed to substantiate the derived input–output relationship between Ften and Fgen (Section 4.1), identify the maximum supporting capabilities under the maximum tensile force setup which can serve as a technical specification (Section 4.2), and test the feasibility to be utilized as a key component for the design of wearable assistive devices (Section 4.3). Discussions about the results follow each experiment.

4.1. Substantiating the Input–Output Relationship of the SJLM

Figure 6 shows the experimental setup to substantiate the derived input–output relationship (namely, a tensile force Ften versus a generated force Fgen relationship) which was presented in Equation (6). A desired value of Ften could be set by using a pressure sensor (LM-PPT-H, Lumax Aerospace Co., Daejeon, Korea). Meanwhile, Fgen was measured by a push–pull gauge (FGP-50, 0.1 N resolution, maximum measured force 500 N, Nidec-Shimpo Co., Kyoto, Japan).
Figure 6. The experimental setup to substantiate the input(Ften)–output(Fgen) relationship: (a) the testbed consists of the SJLM module and a push–pull gauge; (bd) are experimental setups for θ = 80 , θ = 50 , and θ = 20 , respectively. ϕ was set to 45 for all conditions.
Recall that θ and ϕ are a leaning angle and a torsional angle of the link part of the SJLM illustrated in Figure 6, respectively. The experiment was performed by the following procedures:
  • Install a testbed while setting the SJLM at a specific angle, e.g., θ = 80 .
  • Increase Ften gradually by a hydraulic actuation during 60 s from 0 N to 500 N.
  • Decrease Ften gradually by a hydraulic actuation during 60 s from 500 N to 0 N.
  • Measure Fgen while Ften is being increased and decreased.
  • Repeat the above procedures for θ = 50 , θ = 20 , in sequence.
Under our design, r and h were set to 11 mm and 90 mm, respectively. Figure 6b through Figure 6d presents the testbed installment for θ = 80 , θ = 50 , and θ = 20 . ϕ determines the radial direction of the F gen (see Figure 6). From Equation (2), we know that d 1 + d 2 + d 3 + d 4 has the maximum value when ϕ = 45 , where the fulcrum point has the maximum distance from the four holes and no hole works as the fulcrum point. To fully investigate the effect of friction between the fiber lines and the holes and model it as a nonlinear term, ϕ was set as 45 for all conditions.
Figure 7 presents the substantiated input–output (a tensile force Ften versus a generated force Fgen) relationship of the SJLM. By recalling Equation (6) and substituting r = 11 and h = 90 , we have
F gen = 4 × 11 90 F ten φ ( F ten , θ , ϕ ) = 0.489 F ten φ ( F ten , θ , ϕ ) .
Figure 7. The substantiated input–output (a tensile force Ften versus a generated force Fgen) relationship of the SJLM.
From Figure 7, the slopes of the Ften versus Fgen curve are approximately (at F ten = 300 )
F gen F ten 130 300 = 0.433 when θ = 80 F gen F ten 120 300 0.400 when θ = 50 F gen F ten 110 300 0.367 when θ = 20
which allows us to presumably estimate the effect of a frictional force φ ( F ten , θ , ϕ ) from Equation (7) as follows:
φ ( F ten , 80 , 45 ) 0.056 F ten when θ = 80 φ ( F ten , 50 , 45 ) 0.089 F ten when θ = 50 φ ( F ten , 20 , 45 ) 0.122 F ten when θ = 20
However, since the Ften versus Fgen curve shows an obvious nonlinear hysteresis, φ ( F ten , θ , ϕ ) needs to be identified further. Compared to our results, similar hysteresis plots were introduced in [37] as well. The nonlinear hysteresis would be approximated by adopting a neural net-based approach.
Suppose that h = 157 mm, which is a half of the shank length as presented in [38]. We then calculate the maximum assistive torque τ max from Equation (3) ( θ = 80 is assumed)
τ max = h F gen = h F gen F ten F ten = 0.157 [ m ] × 0.433 × 3270.194 [ N ] = 219.999 [ Nm ] 220 [ Nm ]
where 3270.194 [ N ] corresponds to 80% of the maximum breaking tolerance of the synthetic fiber, which guarantees the safe operation of the SJLM experimentally. The outcome is competitive with those for the existing lower-limb exoskeletons, such as those presented in [14,18,21], of which the maximum assistance force ranges from 50.0 Nm to 200.0 Nm.

4.2. The Maximum Supporting Capabilities of the SJLM under the Maximum Tensile Force

Figure 8 shows the experimental setup to measure the maximum supporting capabilities of the SJLM under the maximum tensile force, which can serve as a technical specification of the SJLM. An absolute Digimatic indicator (ID-S112XB, 0.001 mm resolution, Mitutoyo Co., Kawasaki, Japan) and a push–pull gauge (FGP-50, 0.1 N resolution, maximum measured force 500 N, Nidec-Shimpo Co.) were used to measure the applied force and corresponding displacement, respectively. The goal of this experiment was to identify the maximum supporting capabilities of the SJLM in terms of the maximum translation and rotational stiffness. The experiment was performed as follows:
Figure 8. The experimental setup to measure various SJLM properties under the maximum tensile force: (a) an absolute Digimatic indicator to measure a displacement and (b) a push–pull gauge to measure a force applied to the SJLM.
  • Apply the maximum tensile force F ten to the SJLM.
  • Push the SJLM upward by the push–pull gauge and measure the force applied to the SJLM.
  • Meanwhile, measure the displacement of the SJLM by the absolute Digimatic indicator (translational displacement).
  • Repeat the above procedures ten times (the applied F ten is supposed to be above 196 N).
  • Convert the measured translational stiffness into the rotational stiffness, and calculate the mean and standard deviation.
  • Calculate the translational/rotational stiffness based on the measured translational/rotational displacement.
From the experiment, the measured translational displacement was 0.567 ± 0.039 mm, which corresponded to the rotational displacement (6.365 ± 0.436) × 10 3 rad according to a torque arm of 89 mm when the applied force was 213.96 ± 12.19 N, in terms of torque 19.04 ± 1.09 Nm. This results indicated that, under the maximum tensile force setting, the maximum translational and rotational stiffness of the SJLM were 378.1 ± 9.6 kN/m and (2.995 ± 0.076) × 10 3 Nm/rad, respectively. These resulting values are competitive with the joint stiffness of the Dexter arm [39,40] consisting of gearbox, motor, and steel wire, which is commonly used for exoskeletons [13,22,23,24,25,26].

4.3. Feasible SJLM Applications: Wearable Lower-Limb and Spine Assistive Devices

Figure 9 shows the two feasible applications of the SJLM. First, a wearable lower-limb assistive device is presented in Figure 9a. Two SJLMs are mounted on the lateral sides of the pilot wearer’s legs; specifically, the hemisphere block parts are aligned with the wearer’s knee joints. If the SJLM were set to a high stiffness adjustment, then the pilot wearer could maintain the upright position for a longer time but would expend less musculo-skeletal power. Figure 9b demonstrates that the SJLM can be bent with elasticity while the DoF for the wearer’s movement is preserved. Next, Figure 9c presents a spine assistive device designed as a harness type. From Figure 9d, we can see that the pilot wearer’s spine (especially a thoracic/lumbar spine) can be supported by the SJLM. This type of wearable assistive device will be helpful for workers who need to sustain an upright posture for a long time, e.g., mart cashiers, security guards, and so on.
Figure 9. The two SJLM applications: (a) a lower-limb assistive device under high-stiffness adjustment and (b) bent with elasticity under low-stiffness adjustment; (c,d) a spine assistive device designed as a harness type to support a thoracic/lumbar spine.
Recall that the design of the SJLM is mainly aimed at providing the capability for adjusting its stiffness/flexibility to assist a wearer. We expect that this capability enables the SJLM to be utilized as a key component to develop whole-body wearable assistive devices with the following advantages:
  • Under high-stiffness (low-flexibility) adjustment, the SJLM can support the wearer with the desired assistive force: This advantage is well-exemplified by the existing Chair Exoskeleton (CEX) of Hyundai Motor Group [41] (see Figure 10a).
    Figure 10. (a) Chair Exoskeleton (CEX) developed by Huyndai Motor Group [41]; (b) HeroWear Apex suit developed by HeroWear LLC [42].
  • Under low-stiffness (high-flexibility) adjustment, the SJLM can provide the wearer with comfort by alleviating kinematic discrepancy and joint misalignment: As presented in [42], for instance, the HeroWear Apex suit—a biomechanically assistive garment to support the lumbar spine—is light and comfortable to wear (see Figure 10b).

5. Conclusions

This paper proposed a spine-like joint link mechanism (SJLM) for designing wearable assistive devices with comport and support, which guarantees better mobility. Inspired by a human spine structure, the SJLM was made of the concatenation of multiple hemispherical blocks via four synthetic fiber lines. The concatenation stiffness of the hemispherical blocks could be adjusted by regulating the tensile force on the lines under a hydraulic actuation, which in turn generated a supporting force at the end-link of the SJLM. The experimental results substantiated the feasibility of the SJLM to be utilized as a key component for designing wearable assistive devices by identifying input–output characteristics as well as the maximum supporting capabilities under the maximum tensile force setup. Two SJLM applications were presented to demonstrate the substantiated feasibility: these were wearable lower-limb and spine assistive devices.
We conclude this paper by providing additional information about the SJLM from a research as well as a market perspective. First, the SJLM was designed to minimize the risk of the wearer’s injuries, e.g., joint sprain or dislocation, when an unexpected fall occurs. Nonetheless, the wearer should be aware of the potential failure of the SJLM which might be induced by a hydraulic piston abrasion, a sudden power cut, and so on. Next, as aforementioned, the specification of the SJLM can be flexibly modified according to the wearer’s body measurement and design materials. Therefore, the cost affordability can also be secured by the designer’s choice.
This study will culminate in the design of an innovative version of wearable assistive devices, such as a lower-limb exoskeleton or an upper-limb augmentation device, in future works.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/s22062314/s1, Video S1: Spine-like Joint Link Mechanism.

Author Contributions

Conceptualization: J.-S.C.; methodology: J.-Y.K., J.-S.C. and H.-U.Y.; software: J.-Y.K., J.-S.C., S.-C.H. and H.-U.Y.; validation: J.-Y.K., J.-H.K., S.-S.P. and J.-T.K.; formal analysis: J.-Y.K., J.-S.C. and H.-U.Y.; investigation: J.-Y.K., S.-C.H. and S.-S.P.; resources: J.-Y.K. and J.-S.C.; data curation: J.-Y.K., J.-H.K. and J.-T.K.; writing—original draft preparation: J.-Y.K., J.-S.C. and H.-U.Y.; writing—review and editing: J.-Y.K., J.-S.C. and H.-U.Y.; visualization: J.-Y.K. and H.-U.Y.; supervision: J.-S.C. and H.-U.Y.; project administration: J.-S.C.; funding acquisition: J.-S.C. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially supported by the Korea Institute of Industrial Technology under “Korea Institute of Industrial Technology: KITECH EH220002” and by the Ministry of Trade, Industry & Energy (MOTIE, Korea) under ‘MOTIE, Korea: 20007836, Development of Wearable robot for Construction Workers”.

Institutional Review Board Statement

Ethical review and approval were waived for this study due to the minimal potential risk for pilot user’s wearability test.

Data Availability Statement

Not applicable.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
SJLMSpine-like joint link mechanism

References

  1. Martelli, D.; Vannetti, F.; Cortese, M.; Tropea, P.; Giovacchini, F.; Micera, S.; Monaco, V.; Vitiello, N. The effects on biomechanics of walking and balance recovery in a novel pelvis exoskeleton during zero-torque control. Robotica 2014, 32, 1317–1330. [Google Scholar] [CrossRef] [Green Version]
  2. Monaco, V.; Tropea, P.; Aprigliano, F.; Martelli, D.; Parri, A.; Cortese, M.; Molino-Lova, R.; Vitiello, N.; Micera, S. An ecologically controlled exoskeleton can improve balance recovery after slippage. Sci. Rep. 2017, 7, 46721. [Google Scholar] [CrossRef] [PubMed]
  3. Farkhatdinov, I.; Ebert, J.; Van Oort, G.; Vlutters, M.; Van Asseldonk, E.; Burdet, E. Assisting human balance in standing with a robotic exoskeleton. IEEE Robot. Autom. Lett. 2019, 4, 414–421. [Google Scholar] [CrossRef] [Green Version]
  4. Louie, D.R.; Eng, J.J. Powered robotic exoskeletons in post-stroke rehabilitation of gait: A scoping review. J. Neuroeng. Rehabil. 2016, 13, 53. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Bortole, M.; Venkatakrishnan, A.; Zhu, F.; Moreno, J.C.; Francisco, G.E.; Pons, J.L.; Contreras-Vidal, J.L. The H2 robotic exoskeleton for gait rehabilitation after stroke: Early findings from a clinical study. J. Neuroeng. Rehabil. 2015, 12, 54. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Veneman, J.F.; Kruidhof, R.; Hekman, E.E.; Ekkelenkamp, R.; Van Asseldonk, E.H.; Van Der Kooij, H. Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 2007, 15, 379–386. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Alabdulkarim, S.; Kim, S.; Nussbaum, M.A. Effects of exoskeleton design and precision requirements on physical demands and quality in a simulated overhead drilling task. Appl. Ergon. 2019, 80, 136–145. [Google Scholar] [CrossRef]
  8. Kim, S.; Nussbaum, M.A.; Esfahani, M.I.M.; Alemi, M.M.; Alabdulkarim, S.; Rashedi, E. Assessing the influence of a passive, upper extremity exoskeletal vest for tasks requiring arm elevation: Part I—“Expected” effects on discomfort, shoulder muscle activity, and work task performance. Appl. Ergon. 2018, 70, 315–322. [Google Scholar] [CrossRef]
  9. Fontana, M.; Vertechy, R.; Marcheschi, S.; Salsedo, F.; Bergamasco, M. The body extender: A full-body exoskeleton for the transport and handling of heavy loads. IEEE Robot. Autom. Mag. 2014, 21, 34–44. [Google Scholar] [CrossRef]
  10. Asbeck, A.T.; De Rossi, S.M.; Holt, K.G.; Walsh, C.J. A biologically inspired soft exosuit for walking assistance. Int. J. Robot. Res. 2015, 34, 744–762. [Google Scholar] [CrossRef]
  11. Gopura, R.; Bandara, D.; Kiguchi, K.; Mann, G. Developments in hardware systems of active upper-limb exoskeleton robots: A review. Robot. Auton. Syst. 2016, 75, 203–220. [Google Scholar] [CrossRef]
  12. Gregorczyk, K.N.; Hasselquist, L.; Schiffman, J.M.; Bensel, C.K.; Obusek, J.P.; Gutekunst, D.J. Effects of a lower-body exoskeleton device on metabolic cost and gait biomechanics during load carriage. Ergonomics 2010, 53, 1263–1275. [Google Scholar] [CrossRef] [PubMed]
  13. Kong, K.; Jeon, D. Design and control of an exoskeleton for the elderly and patients. IEEE/ASME Trans. Mechatron. 2006, 11, 428–432. [Google Scholar] [CrossRef]
  14. Zoss, A.B.; Kazerooni, H.; Chu, A. Biomechanical design of the Berkeley lower extremity exoskeleton (BLEEX). IEEE/ASME Trans. Mechatron. 2006, 11, 128–138. [Google Scholar] [CrossRef]
  15. Sankai, Y. HAL: Hybrid assistive limb based on cybernics. In Robotics Research; Springer: Berlin/Heidelberg, Germany, 2010; Volume 66, pp. 25–34. [Google Scholar]
  16. Strausser, K.A.; Kazerooni, H. The development and testing of a human machine interface for a mobile medical exoskeleton. In Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, San Francisco, CA, USA, 25–30 September 2011; pp. 4911–4916. [Google Scholar]
  17. Pratt, J.E.; Krupp, B.T.; Morse, C.J.; Collins, S.H. The RoboKnee: An exoskeleton for enhancing strength and endurance during walking. In Proceedings of the IEEE International Conference on Robotics and Automation, New Orleans, LA, USA, 26 April–1 May 2004; pp. 2430–2435. [Google Scholar]
  18. Wang, S.; Wang, L.; Meijneke, C.; Van Asseldonk, E.; Hoellinger, T.; Cheron, G.; Ivanenko, Y.; La Scaleia, V.; Sylos-Labini, F.; Molinari, M.; et al. Design and control of the MINDWALKER exoskeleton. IEEE Trans. Neural Syst. Rehabil. Eng. 2014, 23, 277–286. [Google Scholar] [CrossRef] [PubMed]
  19. Kim, H.-G.; Park, S.; Han, C. Design of a novel knee joint for an exoskeleton with good energy efficiency for load-carrying augmentation. J. Mech. Sci. Technol. 2014, 28, 4361–4367. [Google Scholar] [CrossRef]
  20. Kim, H.-G.; Lee, J.-W.; Jang, J.; Park, S.; Han, C. Design of an exoskeleton with minimized energy consumption based on using elastic and dissipative elements. Int. J. Control Autom. Syst. 2015, 13, 463–474. [Google Scholar] [CrossRef]
  21. Zhang, T.; Huang, H. A lower-back robotic exoskeleton: Industrial handling augmentation used to provide spinal support. IEEE Robot. Autom. Mag. 2018, 25, 95–106. [Google Scholar] [CrossRef]
  22. Lee, J.-W.; Kim, G. Design and control of a lifting assist device for preventing lower back injuries in industrial athletes. Int. J. Precis. Eng. Manuf. 2019, 20, 1825–1838. [Google Scholar] [CrossRef]
  23. Perry, J.C.; Rosen, J.; Burns, S. Upper-limb powered exoskeleton design. IEEE/ASME Trans. Mechatron. 2007, 12, 408–417. [Google Scholar] [CrossRef]
  24. Gopura, R.A.R.C.; Kiguchi, K.; Li, Y. SUEFUL-7: A 7DOF upper-limb exoskeleton robot with muscle-model-oriented EMG-based control. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, St. Louis, MO, USA, 11–15 October 2009; pp. 1126–1131. [Google Scholar]
  25. Chiri, A.; Vitiello, N.; Giovacchini, F.; Roccella, S.; Vecchi, F.; Carrozza, M.C. Mechatronic design and characterization of the index finger module of a hand exoskeleton for post-stroke rehabilitation. IEEE/ASME Trans. Mechatron. 2011, 17, 884–894. [Google Scholar] [CrossRef]
  26. Wege, A.; Hommel, G. Development and control of a hand exoskeleton for rehabilitation of hand injuries. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Edmonton, AB, Canada, 2–6 August 2005; pp. 3046–3051. [Google Scholar]
  27. Näf, M.B.; Junius, K.; Rossini, M.; Rodriguez-Guerrero, C.; Vanderborght, B.; Lefeber, D. Misalignment compensation for full human-exoskeleton kinematic compatibility: State of the art and evaluation. Appl. Mech. Rev. 2018, 70, 050802. [Google Scholar] [CrossRef] [Green Version]
  28. Mallat, R.; Khalil, M.; Venture, G.; Bonnet, V.; Mohammed, S. Human-exoskeleton joint misalignment: A systematic review. In Proceedings of the International Conference on Advances in Biomedical Engineering, Tripoli, Lebanon, 17–19 October 2019; pp. 1–4. [Google Scholar]
  29. In, H.; Kang, B.B.; Sin, M.; Cho, K.-J. Exo-glove: A wearable robot for the hand with a soft tendon routing system. IEEE Robot. Autom. Mag. 2015, 22, 97–105. [Google Scholar] [CrossRef]
  30. Yao, Z.; Linnenberg, C.; Weidner, R.; Wulfsberg, J. Development of a soft power suit for lower back assistance. In Proceedings of the International Conference on Robotics and Automation, Montreal, QC, Canada, 20–24 May 2019; pp. 5103–5109. [Google Scholar]
  31. O’Neill, C.T.; Phipps, N.S.; Cappello, L.; Paganoni, S.; Walsh, C.J. A soft wearable robot for the shoulder: Design, characterization, and preliminary testing. In Proceedings of the International Conference on Rehabilitation Robotics, London, UK, 17–20 July 2017; pp. 1672–1678. [Google Scholar]
  32. O’Neill, C.; Proietti, T.; Nuckols, K.; Clarke, M.E.; Hohimer, C.J.; Cloutier, A.; Lin, D.J.; Walsh, C.J. Inflatable soft wearable robot for reducing therapist fatigue during upper extremity rehabilitation in severe stroke. IEEE Robot. Autom. Lett. 2020, 5, 3899–3906. [Google Scholar] [CrossRef]
  33. Asbeck, A.T.; De Rossi, S.M.M.; Galiana, I.; Ding, Y.; Walsh, C.J. Stronger, smarter, softer: Next-generation wearable robots. IEEE Robot. Autom. Mag. 2014, 21, 22–33. [Google Scholar] [CrossRef]
  34. Jarrassé, N.; Tagliabue, M.; Robertson, J.V.G.; Maiza, A.; Crocher, V.; Roby-Brami, A.; Morel, G. A methodology to quantify alterations in human upper limb movement during co-manipulation with an exoskeleton. IEEE Trans. Neural Syst. Rehabil. Eng. 2010, 18, 389–397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Jarrassé, N.; Morel, G. Connecting a human limb to an exoskeleton. IEEE Trans. Robot. 2011, 28, 697–709. [Google Scholar] [CrossRef] [Green Version]
  36. Zanotto, D.; Akiyama, Y.; Stegall, P.; Agrawal, S.K. Knee joint misalignment in exoskeletons for the lower extremities: Effects on user’s gait. IEEE Trans. Robot. 2015, 31, 978–987. [Google Scholar] [CrossRef]
  37. Yang, X.; Huang, T.-H.; Hu, H.; Yu, S.; Zhang, S.; Zhou, X.; Carriero, A.; Yue, G.; Su, H. Spine-inspired continuum soft exoskeleton for stoop lifting assistance. IEEE Robot. Autom. Lett. 2019, 4, 4547–4554. [Google Scholar] [CrossRef] [Green Version]
  38. Winter, D.A. Biomechanics and Motor Control of Human Movement; John Wiley & Sons: Hoboken, NJ, USA, 2009. [Google Scholar]
  39. Zollo, L.; Siciliano, B.; Laschi, C.; Teti, G.; Dario, P. An experimental study on compliance control for a redundant personal robot arm. Robot. Auton. Syst. 2003, 44, 101–129. [Google Scholar] [CrossRef]
  40. Zollo, L.; Siciliano, B.; De Luca, A.; Guglielmelli, E.; Dario, P. Compliance control for an anthropomorphic robot with elastic joints: Theory and experiments. J. Dyn. Syst. Meas. Control 2004, 127, 321–328. [Google Scholar] [CrossRef]
  41. Hyundai Motor Group Develops Wearable Robot. Available online: https://www.koreatimes.co.kr/www/tech/2019/09/693_275084.html (accessed on 22 January 2022).
  42. Women Lift Every Day. Available online: https://herowearexo.com/suited-for-all/ (accessed on 24 January 2022).
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