ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2020
Soft eSkin: distributed touch sensing with harmonized energy and computing.
Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Adaptive Conductive Systems: Enabling Deformable Electronics Through Engineered Materials, Circuits, and Intelligent Systems.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Continuum tactile sensing via an amplified liquid metal interface.Science advances · 2026Article
- Wearable Medical Devices: Application Status and Prospects.Micromachines · 2025Review
- Recent Developments and Applications of Tactile Sensors with Biomimetic Microstructures.Biomimetics (Basel, Switzerland) · 2025Review
- Flexible BaTiOPolymers · 2023Article
- COVID-19 clinical waste reuse: A triboelectric touch sensor for IoT-cloud supported smart hand sanitizer dispenser.Nano energy · 2023Article
- Emerging memristive neurons for neuromorphic computing and sensing.Science and technology of advanced materials · 2023Review
- Skin-Inspired Thermoreceptors-Based Electronic Skin for Biomimicking Thermal Pain Reflexes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022Article
- Towards fungal sensing skin.Fungal biology and biotechnology · 2021Article
- Acetobacter Biofilm: Electronic Characterization and Reactive Transduction of Pressure.ACS biomaterials science & engineering · 2021Article
- Fungal sensing skin.Fungal biology and biotechnology · 2021Article
- Tactile sensing biohybrid soft E-skin based on bioimpedance using aloe vera pulp tissues.Scientific reports · 2021Article
- Biodegradable Materials for Sustainable Health Monitoring Devices.ACS applied bio materials · 2021Review
- A spiking and adapting tactile sensor for neuromorphic applications.Scientific reports · 2020Article
- High-performance printed electronics based on inorganic semiconducting nano to chip scale structures.Nano convergence · 2020Review
- Tacsac: A Wearable Haptic Device with Capacitive Touch-Sensing Capability for Tactile Display.Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Inspired by biology, significant advances have been made in the field of electronic skin (eSkin) or tactile skin. Many of these advances have come through mimicking the morphology of human skin and by distributing few touch sensors in an area. However, the complexity of human skin goes beyond mimicking few morphological features or using few sensors. For example, embedded computing (e.g. processing of tactile data at the point of contact) is centric to the human skin as some neuroscience studies show. Likewise, distributed cell or molecular energy is a key feature of human skin. The eSkin with such features, along with distributed and embedded sensors/electronics on soft substrates, is an interesting topic to explore. These features also make eSkin significantly different from conventional computing. For example, unlike conventional centralized computing enabled by miniaturized chips, the eSkin could be seen as a flexible and wearable large area computer with distributed sensors and harmonized energy. This paper discusses these advanced features in eSkin, particularly the distributed sensing harmoniously integrated with energy harvesters, storage devices and distributed computing to read and locally process the tactile sensory data. Rapid advances in neuromorphic hardware, flexible energy generation, energy-conscious electronics, flexible and printed electronics are also discussed. This article is part of the theme issue 'Harmonizing energy-autonomous computing and intelligence'.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.