Smart Digital Garment
Smart Digital Garment - Related Videos
08:35
Are You Smart or Hardworking? How Praise Influences Children's Motivation
0 Views •
2023
Source: Laboratories of Judith Danovitch and Nicholaus Noles—University of Louisville Imagine teaching two children how to skate. It is a hard task for both of them, and they fall down frequently. After falling down for the first time, one child says that skating is too hard and wants to go home. The other child seems to enjoy the challenge and eagerly gets back up after falling down each time. Why do the children have such different attitudes about the same task? One reason may be that they...
08:35
Hybrid Printing for the Fabrication of Smart Sensors
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Cited by 4 •
2019
Here we present a protocol for the fabrication of inkjet-printed multilayer sensor structures on additively manufactured substrates and foil.
08:06
Use of a Low-flow Digital Anesthesia System for Mice and Rats
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Cited by 4 •
2016
Here, we present a protocol to more safely and efficiently administer anesthetic gas to mice using a digital, low flow anesthesia system utilizing a syringe-driven direct injection vaporizer.
10:55
Digital Microfluidics for Automated Proteomic Processing
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Cited by 30 •
2009
Digital Microfluidics is a technique characterized by the manipulation of discrete droplets (~nL - mL) on an array of electrodes by the application of electrical fields. It is well-suited for carrying out rapid, sequential, miniaturized automated biochemical assays. Here, we report a platform capable of automating several proteomic processing steps.
07:47
Design and Evaluation of Smart Glasses for Food Intake and Physical Activity Classification
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Cited by 9 •
2018
This study presents a protocol of designing and manufacturing a glasses-type wearable device that detects the patterns of food intake and other featured physical activities using load cells inserted in both hinges of the glasses.
FAQs
A Smart Digital Garment turns changes at the body or in the surrounding environment into a digital information stream. Textile-integrated sensors detect signals such as movement, posture, pressure, or temperature. Conductive fibers carry those signals, while small processors help convert them for wireless communication. This chain links physical behavior with data that can be examined over time.
Each component contributes a different stage of information handling. Textile-integrated sensors detect physical changes, conductive fibers support signal transmission through the garment, and small processors help transform detected changes into digital information. Wireless connections then communicate that information, allowing observations of the wearer or surroundings without relying solely on direct, moment-to-moment observation.
Less intrusive observation can support continuous measurement while the wearer moves through natural settings. Instead of limiting analysis to brief or highly controlled observations, researchers can examine activity patterns, interactions, daily routines, and responses to environments as they occur. This broader behavioral context may help connect isolated measurements with patterns of real-world activity.
Different signals reveal different dimensions of behavior and physical context. Movement and posture can inform studies of motor behavior, while pressure may capture changes associated with body position or interaction. Temperature provides another measurable condition. Together, these signals can support analysis of activity patterns, human performance, daily routines, and responses to environments.
A typical workflow begins with the wearer using the garment in the setting relevant to the research question. Integrated sensors detect movement, posture, pressure, or temperature, and the garment’s processing and wireless components convert those changes into digital data. Researchers can then examine the resulting information for activity patterns, interactions, performance, or environmental responses.
Within behavior research, the approach can support studies of motor behavior, human performance, daily routines, and responses to surrounding environments. Its broader relevance includes personalized monitoring and the development of responsive clothing systems. These applications use the garment’s ability to connect bodily or environmental changes with digitally communicated information over time.