Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Somatosensation01:33

Somatosensation

The somatosensory system relays sensory information from the skin, mucous membranes, limbs, and joints. Somatosensation is more familiarly known as the sense of touch. A typical somatosensory pathway includes three types of long neurons: primary, secondary, and tertiary. Primary neurons have cell bodies located near the spinal cord in groups of neurons called dorsal root ganglia. The sensory neurons of ganglia innervate designated areas of skin called dermatomes.
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
Sensory Functions of the Skin01:16

Sensory Functions of the Skin

The skin is the largest organ of the human body and plays a crucial role in our sensory perception. It contains a vast network of sensory receptors that contribute to the skin's protective function by perceiving physical, biological, and environmental cues and generating relevant responses.
There are two main categories of receptors on the skin: capsulated and non-capsulated. The non-capsulated ones are mainly the pain receptors. The capsulated ones can be further categorized based on the...
Sensory Perception: Organization of the Somatosensory System01:11

Sensory Perception: Organization of the Somatosensory System

The somatosensory system is the central and peripheral nervous system component that senses and processes touch, pressure, pain, temperature, and body position or proprioception. The process of sensation takes place at three levels:
The receptor level:
The receptor level is the first stage of sensation. It involves the detection of a stimulus by specialized sensory receptors. The stimulus must arrive within the receptor's receptive field. Next, the receptor converts the energy of the stimulus...
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
Responses to Gravity and Touch02:26

Responses to Gravity and Touch

Gravitropism: Plant Responses to Gravity

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Development of a novel loop-mediated isothermal amplification assay for the detection of lipolytic Pseudomonas fluorescens in raw cow milk from north China.

Journal of dairy science·2017
Same author

Electromagnetic reprogrammable coding-metasurface holograms.

Nature communications·2017
Same author

Bacterial magnetosome and its potential application.

Microbiological research·2017
Same author

Novel CD137 Gene Polymorphisms and Susceptibility to Ischemic Stroke in the Northern Chinese Han Population.

Neuromolecular medicine·2017
Same author

The Clinicopathological Factors Associated with Disease Progression in Luminal A Breast Cancer and Characteristics of Metastasis: A Retrospective Study from A Single Center in China.

Anticancer research·2017
Same author

Direct observation of topological surface-state arcs in photonic metamaterials.

Nature communications·2017

Related Experiment Video

Updated: May 19, 2026

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Recent developments and studies on tactile sensor computing.

Yuying Wu1, Shuang Zhang1

  • 1School of Electrical Engineering, Shanghai DianJi University, Shanghai 201306, China. wyy2021h@163.com.

Nanoscale
|May 18, 2026
PubMed
Summary

Tactile sensors are evolving towards integrated perception and computing to overcome limitations of traditional designs. This review analyzes near-sensor and in-sensor computing architectures for advanced robotics and human-computer interaction.

Related Experiment Videos

Last Updated: May 19, 2026

A Tactile Automated Passive-Finger Stimulator (TAPS)
19:44

A Tactile Automated Passive-Finger Stimulator (TAPS)

Published on: June 3, 2009

Area of Science:

  • Robotics and Human-Computer Interaction
  • Materials Science and Engineering
  • Computer Science and Engineering

Background:

  • Traditional tactile sensors face challenges like high latency and power consumption due to separated sensing and computing.
  • The discrete nature of conventional sensing can lead to information loss, hindering high-performance applications.
  • Integrating perception and computing in tactile sensors is crucial for overcoming these limitations.

Purpose of the Study:

  • To systematically review tactile sensor working principles and frontier research.
  • To analyze the core mechanisms of tactile computing.
  • To compare near-sensor and in-sensor computing architectures for tactile sensing.

Main Methods:

  • Systematic literature review of tactile sensor technology.
  • Analysis of working principles, device compositions, and performance of computing architectures.
  • Comparative study of near-sensor and in-sensor computing in tactile sensing.

Main Results:

  • Near-sensor and in-sensor computing architectures offer solutions to reduce latency and power consumption.
  • A comparative analysis of these architectures highlights their respective advantages and scenario adaptability.
  • Existing studies lack systematic integration and analysis of these two computing approaches.

Conclusions:

  • Integrating perception and computing is key to advancing tactile sensor technology.
  • Addressing current challenges in near-sensor and in-sensor computing will accelerate intelligent tactile sensor development.
  • Future research should focus on overcoming these challenges to enhance robotics, healthcare, and human-computer interaction.