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Abstract
People with hand amputations experience strenuous daily life challenges, often leading to lifelong use of a prosthetic hand(s) and services. Modern advanced prosthetic hands must be able to provide human hand-like sensory perceptions to receive external stimuli during daily activities while simultaneously replicating a realistic appearance and physical properties to naturally integrate in social contexts; however, the practical realization of these issues are impeded by a lack of effective methodologies. Herein, we present an optimal set of materials, design layouts, and fabrication schemes to construct an easy-to-wear seamless electronic glove (e-glove) suitable for arbitrary hand shapes that provides all of the desired human hand-like features. The system configuration involves a connection to a control wristwatch unit for real-time display of sensory data measured and remote transmission to the user. The experimental and computational studies provide details regarding the underlying principles of the materials selection, mechanics design, and operational management of the entire system. The demonstration of the e-glove system in interactions with human subjects illustrates the utility, comfort, and convenience of this device.
Wearable electronics: making artificial hands fit like a glove
A stretchy glove loaded with sensors can be slipped over any prosthetic hand to help amputees regain sensory perceptions. Devices meant to replace hands have complex movements, which make them challenging to integrate with wearable electronic sensors. Min Ku Kim from Purdue University in West Lafayette, USA and colleagues have overcome this problem by combining pressure, temperature, hydration, and electrophysiological sensors into nitrile gloves similar to those worn in laboratories. The ‘e-glove’ is fabricated by printing components such as silver ink-based thermal resistors onto the glove and then coating the device with a soft, skin-like silicone polymer. Signals received from the e-glove are displayed on a wristwatch display. The team demonstrated sensing of everyday items, including damp diapers, while simultaneously keeping tabs on a user’s heartrate and muscle exertion.
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1 Purdue University, Weldon School of Biomedical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197)
2 Purdue University, Department of Computer and Information Technology, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); University of Georgia, Department of Computer Science, Athens, USA (GRID:grid.213876.9) (ISNI:0000 0004 1936 738X)
3 University of Texas at Austin, Department of Aerospace Engineering and Engineering Mechanics, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924)
4 Purdue University, School of Mechanical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197)
5 Purdue University, Department of Computer and Information Technology, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197)
6 Purdue University, Weldon School of Biomedical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, School of Mechanical Engineering, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197); Purdue University, Department of Speech, Language and Hearing Sciences, West Lafayette, USA (GRID:grid.169077.e) (ISNI:0000 0004 1937 2197)