Wearable and Implantable Epidermal Paper-Based Electronics

Sadri, Behnam; Goswami, Debkalpa; Medeiros, Marina Sala de; Pal, Aniket; Castro, Beatriz; Kuang, Shihuan; Martínez, Ramsés V.

doi:10.1021/acsami.8b11020

Cited by 56 publications

(40 citation statements)

References 45 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent progress in flexible electronics enabled the development of sensor patches (e.g., Vivalnk [171]) and epidermal electronics. In recent research, the potential of epidermal electronics measuring different electrophysiological signals, like electrocardiogram, electromyogram, and even electroencephalogram has been demonstrated [172,173]. Up to now patches and epidermal electronics have found little application in affect recognition (field) studies.…”

Section: Discussion and Outlookmentioning

confidence: 99%

Wearable-Based Affect Recognition—A Review

Schmidt

Reiss

Dürichen

et al. 2019

Sensors

167

163

View full text Add to dashboard Cite

Affect recognition is an interdisciplinary research field bringing together researchers from natural and social sciences. Affect recognition research aims to detect the affective state of a person based on observables, with the goal to, for example, provide reasoning for the person’s decision making or to support mental wellbeing (e.g., stress monitoring). Recently, beside of approaches based on audio, visual or text information, solutions relying on wearable sensors as observables, recording mainly physiological and inertial parameters, have received increasing attention. Wearable systems enable an ideal platform for long-term affect recognition applications due to their rich functionality and form factor, while providing valuable insights during everyday life through integrated sensors. However, existing literature surveys lack a comprehensive overview of state-of-the-art research in wearable-based affect recognition. Therefore, the aim of this paper is to provide a broad overview and in-depth understanding of the theoretical background, methods and best practices of wearable affect and stress recognition. Following a summary of different psychological models, we detail the influence of affective states on the human physiology and the sensors commonly employed to measure physiological changes. Then, we outline lab protocols eliciting affective states and provide guidelines for ground truth generation in field studies. We also describe the standard data processing chain and review common approaches related to the preprocessing, feature extraction and classification steps. By providing a comprehensive summary of the state-of-the-art and guidelines to various aspects, we would like to enable other researchers in the field to conduct and evaluate user studies and develop wearable systems.

show abstract

Section: Discussion and Outlookmentioning

confidence: 99%

Wearable-Based Affect Recognition—A Review

Schmidt

Reiss

Dürichen

et al. 2019

Sensors

167

163

View full text Add to dashboard Cite

show abstract

“…Creating vertical interconnect access (VIA) holes is a promising approach to achieve electrical connection between layers . It has been widely used to make a conductive path between multilayers in printed circuit boards (PCBs).…”

Section: Design and Integration Strategiesmentioning

confidence: 99%

Nanomaterial‐Enabled Flexible and Stretchable Sensing Systems: Processing, Integration, and Applications

et al. 2019

View full text Add to dashboard Cite

Nanomaterial‐enabled flexible and stretchable electronics have seen tremendous progress in recent years, evolving from single sensors to integrated sensing systems. Compared with nanomaterial‐enabled sensors with a single function, integration of multiple sensors is conducive to comprehensive monitoring of personal health and environment, intelligent human–machine interfaces, and realistic imitation of human skin in robotics and prosthetics. Integration of sensors with other functional components promotes real‐world applications of the sensing systems. Here, an overview of the design and integration strategies and manufacturing techniques for such sensing systems is given. Then, representative nanomaterial‐enabled flexible and stretchable sensing systems are presented. Following that, representative applications in personal health, fitness tracking, electronic skins, artificial nervous systems, and human–machine interactions are provided. To conclude, perspectives on the challenges and opportunities in this burgeoning field are considered.

show abstract

“…Mica substrate is another candidate for the flexible electronics due to its outstanding thermal stability up to 600 °C, while high manufacturing cost limits its applications . Recently, cellulose paper as flexible substrate is studied with the rise of single‐use disposable electronic devices that requires low cost and recyclable substrate . For the realization of flexible electronic system, the substrate materials should be adopted in consideration of the purpose and required characteristics such as mechanical stability, thermal stability, chemical resistance, optical transmittance, and recyclability.…”

Section: Flexible Memristive Devicesmentioning

confidence: 99%

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Sung

Kim

et al. 2019

Adv Materials Technologies

View full text Add to dashboard Cite

The latest progresses in software engineering such as cloud computing, big data analysis, and machine learning have accelerated the emergence of advanced intelligent systems (AIS). However, the current computing system has significant challenges in dealing with unstructured data (e.g., image, voice, physiological signals) because the von‐Neumann bottleneck induces latency and power consumption issues. Neuromorphic computing, which imitates the behaviors of neuron and synapse within the biological neural network, is considered a promising solution beyond von‐Neumann architecture, since its collocated structure of processor and memory enables parallel processing of unstructured data with remarkable efficiency. Memristors are considered as next‐generation nonvolatile memory devices due to fast speed, low power, and excellent scalability. However, a low reliability and leakage current issues remain as obstacle to the commercialization of memristors. Memristive devices have been widely investigated as a strong candidate for artificial synapses since their resistance modulation characteristics under electrical stimulus are analogous to the plasticity of the brain synapse. Although emulation of synaptic behavior by single memristor cells is demonstrated by many researchers, the development of fully functional memristive neural network requires further investigations. This paper introduces the recent advances and developments in the field of inorganic‐based unconventional memristive devices for future AIS applications.

show abstract

Wearable and Implantable Epidermal Paper-Based Electronics

Cited by 56 publications

References 45 publications

Wearable-Based Affect Recognition—A Review

Wearable-Based Affect Recognition—A Review

Nanomaterial‐Enabled Flexible and Stretchable Sensing Systems: Processing, Integration, and Applications

Unconventional Inorganic‐Based Memristive Devices for Advanced Intelligent Systems

Contact Info

Product

Resources

About