2024
DOI: 10.1109/ojemb.2023.3330290
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Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms

Nathan Zavanelli,
Kangkyu Kwon,
Woon-Hong Yeo

Abstract: Recent studies in functional nanomaterials with advanced macro, micro, and nano-scale structures have yielded substantial improvements in human-interfaced strain sensors for motion and gesture recognition. Furthermore, fundamental advances in nanomaterial printing have been developed and leveraged to translate these materials and mechanical innovations into practical applications. Significant progress in machine learning for human-interfaced strain sensing has unlocked numerous opportunities to improve lives a… Show more

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Cited by 4 publications
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“…The development of high-sensitivity and low-cost strain sensors based on nanomaterials has been a subject of intensive research during the past decade, with applications ranging from electronic skin [1,2] and motion detection [3] for healthcare and wearables [4] to structural health monitoring of large-scale constructions [5]. Along these lines, various nanomaterials have been investigated, including silver nanowires [6], carbon nanotubes [7,8], graphene [9], thin cracked metallic films [10], and metallic nanoparticles [11,12].…”
Section: Introductionmentioning
confidence: 99%
“…The development of high-sensitivity and low-cost strain sensors based on nanomaterials has been a subject of intensive research during the past decade, with applications ranging from electronic skin [1,2] and motion detection [3] for healthcare and wearables [4] to structural health monitoring of large-scale constructions [5]. Along these lines, various nanomaterials have been investigated, including silver nanowires [6], carbon nanotubes [7,8], graphene [9], thin cracked metallic films [10], and metallic nanoparticles [11,12].…”
Section: Introductionmentioning
confidence: 99%