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Small (Weinheim an der Bergstrasse, Germany), 2016-09, Vol.12 (36), p.5074-5080
2016

Details

Autor(en) / Beteiligte
Titel
Self-Powered Piezoionic Strain Sensor toward the Monitoring of Human Activities
Ist Teil von
  • Small (Weinheim an der Bergstrasse, Germany), 2016-09, Vol.12 (36), p.5074-5080
Ort / Verlag
Germany: Blackwell Publishing Ltd
Erscheinungsjahr
2016
Link zum Volltext
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
  • Wearable sensors for the detection of human activities including subtle physiological signals and large‐scale body motion as well as distinguishing the motion direction are highly desirable, but still a challenge. A flexible wearable piezoionic strain sensor based on the ionic polymer membrane sandwiched between two conductive electrodes is developed. This ionic polymer sensor can generate electrical signal output (≈mV) with rapid response (≈50 ms) under the applied bending deformation due to the internal mobile ion redistribution. Compared with the currently studied resistive and capacitive sensors, this sensor can generate sensing signals without the requirement of additional power supply, and is able to distinguish the direction of the bending strain by observing the direction of generated electrical signals. For the sensor with metallic electrode, an output voltage of 1.3 mV is generated under a bending‐induced strain of 1.8%, and this voltage can be largely increased when replacing the metallic electrodes by graphene composites. After simple encapsulation of the piezoionic sensor, a wearable sensor is constructed and succeeded in monitoring the diverse human activities ranging from complex large scale multidimensional motions to subtle signals, including wrist bending with different directions, sitting posture sensing, pulse wave, and finger touch. A self‐powered wearable sensor based on the piezoionic effect is developed, which exhibits the bending deformation‐generated electrical signal feature and can distinguish the bending direction by direction of the electrical signals. After being attached to the body of a person, this sensor succeeds in real‐time monitoring of diverse human activities including large‐scale multidimensional motions, subtle physiological signals, and tactile sensing.

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