Skip to content
A4 civilengineering
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us
Menu Close

Blog

Home » Ongoing Happenings » Liquid metal sensors and AI could help prosthetic hands to ‘feel’
Liquid metal sensors and AI could help prosthetic hands to ‘feel’ » 4State News MO AR KS OK
IMAGE: Researchers used individual fingertips fitted with stretchable tactile sensors with liquid metal on a prosthesis attached to a robotic arm.
view more

Credit: Alex Dolce, Florida Atlantic University

Each fingertip has more than 3,000 touch receptors, which largely respond to pressure. Humans rely heavily on sensation in their fingertips when manipulating an object. The lack of this sensation presents a unique challenge for individuals with upper limb amputations. While there are several high-tech, dexterous prosthetics available today – they all lack the sensation of “touch.” The absence of this sensory feedback results in objects inadvertently being dropped or crushed by a prosthetic hand.

To enable a more natural feeling prosthetic hand interface, researchers from Florida Atlantic University’s College of Engineering and Computer Science and collaborators are the first to incorporate stretchable tactile sensors using liquid metal on the fingertips of a prosthetic hand. Encapsulated within silicone-based elastomers, this technology provides key advantages over traditional sensors, including high conductivity, compliance, flexibility and stretchability. This hierarchical multi-finger tactile sensation integration could provide a higher level of intelligence for artificial hands.

For the study, published in the journal Sensors, researchers used individual fingertips on the prosthesis to distinguish between different speeds of a sliding motion along different textured surfaces. The four different textures had one variable parameter: the distance between the ridges. To detect the textures and speeds, researchers trained four machine learning algorithms. For each of the ten surfaces, 20 trials were collected to test the ability of the machine learning algorithms to distinguish between the ten different complex surfaces comprised of randomly generated permutations of four different textures.
Read More
4state.news

You Might Also Like

Read more about the article Omnicomm to provide lifetime warranty for Its fuel level sensors in India

Omnicomm to provide lifetime warranty for Its fuel level sensors in India

February 3, 2022
Read more about the article Image Sensors: The Main Battleground of the Camera Industry

Image Sensors: The Main Battleground of the Camera Industry

January 19, 2022
Read more about the article New Carrier Air Monitor Helps Users Understand the Quality of the Air They Breathe

New Carrier Air Monitor Helps Users Understand the Quality of the Air They Breathe

November 9, 2021

Archives

  • March 2022
  • February 2022
  • January 2022
  • December 2021
  • November 2021
  • October 2021
  • September 2021
  • August 2021
  • July 2021

Categories

  • 3D Printing
  • Air Quality
  • Architecture
  • Automation
  • BIM
  • Civil Software
  • Computer Vision
  • Constrcution Site
  • Digital Twin
  • Disaster
  • Earthquake
  • Edu Resource
  • Environmental
  • FreeCourse
  • Geotechnical Engineering
  • GIS
  • Industry News
  • Intelligent Transportation System
  • IOT
  • Market Analysis
  • Project Management
  • Remote Sensing
  • Sensors
  • Smart City
  • Smart Home
  • Smart Home/Building
  • Smart Materials
  • Structural Engineering
  • Structural Health Monitoring
  • Transportation
  • Uncategorized
  • Urban Planning

Recent Posts

  • Kontrol Technologies is in the thick of the commercial building upgrade supercycle
  • I-Bhd, China Mobile team up to build Malaysia’s first green smart building
  • FedEx launches AI-powered sorting robot to drive smart logistics
  • 8 trends shaping cities in 2022
  • DC joins growing list of cities requiring new buildings to include EV parking
A4 civilengineering
©2021 Privacy policy
  • Home
  • About Us
  • Education
  • Community
  • Thought
  • Ongoing Happenings
  • Contact Us

Enjoying the contents?

Subscribe to our weekly newsletter