ArticleSensors (Basel, Switzerland)2021
Hierarchical Tactile Sensation Integration from Prosthetic Fingertips Enables Multi-Texture Surface Recognition.
Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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The trial behind it
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Who cites it
11 citing papers in PubMed.
- The Latest Research Progress on Bionic Artificial Hands: A Systematic Review.Micromachines · 2024Review
- Biohybrid Robotic Hand to Investigate Tactile Encoding and Sensorimotor Integration.Biomimetics (Basel, Switzerland) · 2024Article
- Single-Step 3D Printing of Bio-Inspired Printable Joints Applied to a Prosthetic Hand.3D printing and additive manufacturing · 2023Article
- Tactile-Sensing Technologies: Trends, Challenges and Outlook in Agri-Food Manipulation.Sensors (Basel, Switzerland) · 2023Review
- Flexible Magnetic Skin Sensor Array for Torsion Perception.Proceedings. Florida Conference on Recent Advances in Robotics · 2023Article
- Feeling the beat: a smart hand exoskeleton for learning to play musical instruments.Frontiers in robotics and AI · 2023Article
- Accurate Prediction of Knee Angles during Open-Chain Rehabilitation Exercises Using a Wearable Array of Nanocomposite Stretch Sensors.Sensors (Basel, Switzerland) · 2022Article
- Robotically Embodied Biological Neural Networks to Investigate Haptic Restoration with Neuroprosthetic Hands.IEEE Haptics Symposium : [proceedings]. IEEE Haptics Symposium · 2022Article
- An End-to-End Deep Learning Pipeline for Football Activity Recognition Based on Wearable Acceleration Sensors.Sensors (Basel, Switzerland) · 2022Article
- Robotic Replica of a Human Spine Uses Soft Magnetic Sensor Array to Forecast Intervertebral Loads and Posture after Surgery.Sensors (Basel, Switzerland) · 2021Article
- A Flexible Multimodal Sole Sensor for Legged Robot Sensing Complex Ground Information during Locomotion.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Multifunctional flexible tactile sensors could be useful to improve the control of prosthetic hands. To that end, highly stretchable liquid metal tactile sensors (LMS) were designed, manufactured via photolithography, and incorporated into the fingertips of a prosthetic hand. Three novel contributions were made with the LMS. First, individual fingertips were used to distinguish between different speeds of sliding contact with different surfaces. Second, differences in surface textures were reliably detected during sliding contact. Third, the capacity for hierarchical tactile sensor integration was demonstrated by using four LMS signals simultaneously to distinguish between ten complex multi-textured surfaces. Four different machine learning algorithms were compared for their successful classification capabilities: K-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), and neural network (NN). The time-frequency features of the LMSs were extracted to train and test the machine learning algorithms. The NN generally performed the best at the speed and texture detection with a single finger and had a 99.2 ± 0.8% accuracy to distinguish between ten different multi-textured surfaces using four LMSs from four fingers simultaneously. The capability for hierarchical multi-finger tactile sensation integration could be useful to provide a higher level of intelligence for artificial hands.
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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.