Light Weight Gloves with Self-sensing Smart Actuators for Work Stress Reduction

Müller, Ulf; Gust, Peter; Spitz, Tilmann; Feller, Nico; Kamp, Sebastian

doi:10.1016/j.promfg.2015.07.308

Cited by 4 publications

(2 citation statements)

References 1 publication

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“…A 3D printed three finger support exo-skeleton 178 was purpose built to boost the grasp strength in the fingers by offering an external holding force which substantially reduced the effort required by the finger muscles. A stress reducing light weight soft hand glove 179,180 pictured in Figures 12 and 13 is developed due to repeated loading in industrial environment comprising of NiTi based memory alloy wires 179 inserted inside the gloves to retain the structure and straightens the fingers of the user when load applied by the user is removed and has a hybrid structure 180 comprising of tendons composed of carbon fibre and silicone rubber and pneumatic 154 system. Pneumatic artificial muscles involving polypyrrole strain sensors were used to build finger hand exo-skeleton 181 which offered high flexibility and had high power to weight ratio.…”

Section: Exo-skeleton As Human Strength Augmentationmentioning

confidence: 99%

Exo skeleton pertinence and control techniques: A state-of-the-art review

Rangan R,

Babu S

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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Exo-Skeleton is a wearable robotic device which was emerged in later 1960s that has a multitude of applications ranging from weightlifting to wearer’s stability improvement. This paper makes a novel approach in reviewing the various exo-skeleton models that are available at the present. The idea of this paper is to study and compare the models in terms of medical applicability like gait rehabilitation, physiotherapy, human strength augmentation, various control strategies of exo-skeleton, ergonomic study, and need for exo-skeleton system for enhancing the life of humans. Since exo-skeletons are wearable devices, it requires precise controlling of the actuators and repeatability, and accuracy plays a vital role. The paper elucidated with a detailed analysis, reviewed and summarized the core essence of 300 research papers and patents in the field of exo-skeleton with the aforesaid aspects of application and drive system with their control methodologies from 2007 to 2022 and shown a trend with year-wise data from which it is clear that the future of industrial work will become a collaborative activity involving the exo-skeleton system with human labours. Human – robot interaction is vital and must for enabling an integration which can be achieved with the amelioration in the control and actuation techniques for precise control. With the furtherance in the technology the exo-skeletons can be purpose built that can be of rigid or flexible structures with active, passive, or quasi-passive controls based on the user needs. Joint handed operation of Exo-skeleton with the alternative treatment methodologies will yield a plethora of benefits in the near future in comparison with the present conventional treatment modes that could result in reduction of surgeries.

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Section: Exo-skeleton As Human Strength Augmentationmentioning

confidence: 99%

Exo skeleton pertinence and control techniques: A state-of-the-art review

Rangan R,

Babu S

2024

Proceedings of the Institution of Mechanical Engineers, Part C:

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“…As an effective method for recognizing hand posture, smart gloves have been studied in recent years. For example, the glove developed by Ulf Müller et al [ 1 ] was used to relieve stresses for workers. The actuator of these gloves was made of memory alloy wires.…”

Section: Introductionmentioning

confidence: 99%

Finger Bending Sensing Based on Series-Connected Fiber Bragg Gratings

et al. 2022

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Smart wearable devices are occupying an increasingly important position in scientific research and people’s life fields. As an indispensable component of smart wearable devices, sensors play a crucial role in their sensing and feedback capabilities. In this paper, we investigate the bending gesture sensing for the most dexterous part of human anatomy, the finger. Based on series-connected fiber Bragg gratings (FBGs), recognition of finger bending posture is achieved by MATLAB modeling and the cubic spline interpolation.

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