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Showing posts with label sensor. Show all posts
Showing posts with label sensor. Show all posts

Monday, November 21, 2022

Sensor System for IoT Devices Integrates Processing, Computing to Save Energy, Protect Data

Smart Sensors that store and processes data.

Sensor System for IoT Devices Integrates Processing, Computing to Save Energy, Protect Data

University of Virginia Engineering

Karen Walker, October 11, 2022

The University of Virginia's Kyusang Lee and colleagues are exploring a field Lee calls the artificial intelligence of things with the development of a smart sensor that stores and processes data. The smart sensor will sit at the edge of a device, which itself sits at the outer reaches of a wireless network. It can detect and process diverse signals that emulate human biology, including imagery for vision; ultrasound for hearing; pressure and strain linked to motion and touch; and virus detection via chemical sensing. Said the University of Virginia’s Kyusang Lee, “I believe our sensor will be especially useful in robotics that rely on combined sensory inputs and real-time integrated processing.”  .... ' 

Wednesday, September 21, 2022

Tumor Size Tracking

Seems novel application.

Engineers Develop Wearable to Monitor Tumor Size

Stanford News

Andrew Myers, September 16, 2022

Stanford University engineers have designed a wearable device that can measure the size of tumors. The researchers say the battery-powered Flexible Autonomous Sensor measuring Tumors (FAST) device can monitor cancer drug effectiveness with great accuracy. FAST uses a stretchable and flexible sensor embedded with gold circuitry and linked to a small electronic backpack to measure strain on the polymer membrane. The device can wirelessly transmit this data to a smartphone application in real time, and the backpack allows potential therapies connected to tumor size regression to be quickly ruled out or accelerated for further investigation.... ' 

Friday, September 16, 2022

A Silicon Image Sensor That Computes

New approach for image analysis?

A Silicon Image Sensor That Computes

Harvard University John A. Paulson School of Engineering and Applied Sciences

Leah Burrows, August 25, 2022

U.S. and South Korean researchers have developed in-sensor processors that could be incorporated into commercial complementary metal-oxide-semiconductor (CMOS) image sensors. The researchers created an electrostatically doped silicon photodiode array, enabling voltage-based tuning of pixels' optical sensitivity. Harvard University's Houk Jang said, "These dynamic photodiodes can concurrently filter images as they are captured, allowing for the first stage of vision processing to be moved from the microprocessor to the sensor itself." Users can program the array into different image filters to eliminate unnecessary details or noise for various applications. Harvard's Henry Hinton predicted the processor will see use "not only in machine vision applications, but also in bio-inspired applications, wherein early information processing allows for the co-location of sensor and compute units, like in the brain."

Tuesday, August 30, 2022

AI-Created Lenses Let Camera Ignore Some Objects

 A kind of sensory focus, but is this another privacy issue?

AI-Created Lenses Let Camera Ignore Some Objects

New Scientist, By Matthew Sparkes, August 23, 2022

University of California, Los Angeles researchers developed a deep-learning artificial intelligence (AI) model design three-dimensionally (3D) printed plastic camera lenses that capture images of certain objects, while ignoring others in the same frame. The researchers trained the model using thousands of images of numbers, designated either as target objects to appear in images or objects to ignore. The model was told when images that were supposed to reach the camera's sensor did and did not pass through a trio of lenses, and when images that were not supposed to reach the sensor did. The AI used the data to improve its lens design. The completed lenses use complex patterns printed into the plastic to diffract away light relating to objects that are not designated to appear in the final image. Unwanted objects are not captured digitally, so they do not need to be edited out of the image.

Tuesday, August 09, 2022

Computational Method Can Improve Explosion Detection

More sensor applications. 

 Computational Method Can Improve Explosion Detection

University of Alaska Fairbanks Geophysical Institute

Rod Boyce, July 22, 2022

The University of Alaska Fairbanks' Alex Witsil and colleagues have developed a method to better detect explosions by training computers on artificial explosion signals. Witsil explained, "We used modeling software to generate 28,000 synthetic infrasound signals, which, though generated in a computer, could hypothetically be recorded by infrasound microphones deployed hundreds of kilometers from a large explosion." The signals reflect atmospheric variances, which can change an explosion's signal regionally or globally as sound waves spread, complicating the ability to detect a remote blast's origin and type. The machine learning technique uses hundreds of single-element infrasound microphones already deployed worldwide, enabling them to detect more nuanced signals in real time.  ....' 

Saturday, April 30, 2022

Hands Free VR

 Note haptics (touch) enabled/

Physical Sensations in VR Go Hands-Free

IEEE Spectrum, Michelle Hampson, April 11, 2022

A new virtual reality (VR) haptics system developed by researchers at the Chofu, Japan-based University of Electro-Communications (UEC) eliminates hand-based hardware by manipulating the forearm instead of the hand to generate physical sensations. The lightweight system features an external sensor camera that tracks the user's finger movements, and applies haptics sensations to the top, bottom, or sides of the forearm to match those movements. "We were surprised that even with this new haptic presentation method, we were able to obtain a high comfort level without any training time," said UEC's Taha Moriyama. Users described the feeling of the new system as "symbolic" of moving a VR object, rather than feeling like they were truly grasping one.  ... ' 

Sunday, April 17, 2022

Detecting Viruses in Saliva

Sensor application in h\Healthcare

Computer Made From DNA-Coated Beads Could Detect Viruses in Saliva

New Scientist, Carissa Wong,March 28, 2022

Emory University's Khalid Salaita and colleagues built a computer from DNA-coated glass microbeads that could massively boost parallel processing power. The beads either roll or stall on the surface of a gold substrate, depending on how the DNA strands engage with matching RNA molecules affixed to the chip's surface; rolling and stalling are equivalent to outputs of 1 and 0, respectively. The computation's results can be detected by tracking the beads' motion using a smartphone camera with an attached magnifying glass, which Salaita estimated takes 15 minutes. Adding a DNA "lock complex" into the computer enabled the presence or absence of a specific DNA molecule to control bead movement. Salaita said, "One hundred-fold is a conservative estimate of how much more parallel processing we can do with our DNA computer compared to ones that use fluorescent labels."

Friday, April 01, 2022

Can AI Help Casinos Cut Down on Problem Gambling?

Other kinds of related detection of behaviors?

AI Technology Aimed at Gambling Addiction

By The New York Times, March 11, 2022

Researchers are looking to artificial intelligence (AI) as a way to potentially identify and predict problem gambling.

One program from Mindway AI, a company with ties to Denmark's Aarhus University, relies on psychologists to train AI algorithms to detect behaviors associated with problem gambling.

The program scores 14 risk factors from 1 to 100 and generates a risk assessment for each player.However, there are concerns about how to explain such data to players.   While some online gaming companies use pop-up messaging, texts, or emails, Mindway's Rasmus Kjærgaard said the data could be used to personalize phone calls to players...

Artificial intelligence as a solution to problem gambling “raised far more questions than it did answers,” said Alan Feldman, a distinguished fellow in responsible gambling at the International Gaming Institute at the University of Nevada, Las Vegas ... 

From The New York Times  

Saturday, January 15, 2022

Transform a face mask into a monitor?

 'Fitbit for the Face' Can Turn Any Face Mask into Smart Monitoring Device

Northwestern University Newscenter, Amanda Morris, January 12, 2022

Researchers at Northwestern University have developed a sensor that they say can transform any face mask into a smart monitoring device. The FaceBit sensor is lightweight, the size of a quarter, and attaches to any N95, surgical, or cloth face mask with a tiny magnet. FaceBit can measure the wearer's real-time respiration rate, heart rate, and time wearing a mask, as well as mask fit. The data is transferred wirelessly to a smartphone app, which can alert users to issues like elevated heart rate or mask leaks. The sensor is powered by a small battery, and can go a week or two between charges due to its ability to harvest energy from the user's breath and motion, as well as from the sun.  .... ' 

Saturday, November 27, 2021

How to Find Hidden Spy Cameras with a Smartphone

How to Find Hidden Spy Cameras with a Smartphone

By Help Net Security, November 24, 2021

How it works. 

During the scan process, the Time-of-Flight sensor emits laser pulses and captures the reflected light off of an object and its surroundings. Hidden cameras embedded in objects reflect incoming laser pulses at a higher intensity than its surroundings, a result of lens-sensor retro-reflection.

Scientists at the National University of Singapore and South Korea's Yonsei University developed a smartphone application that can find tiny spy cameras concealed in everyday objects, using smartphones' time-of-flight (ToF) sensor.

The researchers said the Laser-Assisted Photography Detection (LAPD) app spots hidden cameras better than commercial camera detectors, and much better than the human eye.

The app, which works on any smartphone handset equipped with a time of flight (ToF) sensor, can only scan a single object at a time, and requires about a minutes to scan that object.

The researchers said the app could be made more accurate by taking advantage of the handset’s flashlight and RGB cameras.

From Help Net Security

Thursday, November 04, 2021

Example of Key Health IOT

Have become educated in advanced BP measurement lately which led me to note this IOT example. And the need for it.    Note this is something in progress, as yet not available.

eBP: An Ear-Worn Device for Frequent and Comfortable Blood Pressure Monitoring

By Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Hoang Truong, Taeho Kim, Nicholas Farrow, Anh Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh, Tam Vu

Communications of the ACM, August 2021, Vol. 64 No. 8, Pages 118-125  10.1145/3470446

Frequent blood pressure monitoring is the key to diagnosis and treatments of many severe diseases. However, the conventional ambulatory methods require patients to carry a blood pressure (BP) monitoring device for 24 h and conduct the measurement every 10–15 min. Despite their extensive usage, wearing the wrist/arm-based BP monitoring device for a long time has a significant impact on users' daily activities. To address the problem, we developed eBP to measure blood pressure (BP) from inside user's ear aiming to minimize the measurement's impact on users' normal activities although maximizing its comfort level.

The key novelty of eBP includes (1) a light-based inflatable pulse sensor which goes inside the ear, (2) a digital air pump with a fine controller, and (3) BP estimation algorithms that eliminate the need of blocking the blood flow inside the ear.

Through the comparative study of 35 subjects, eBP can achieve the average error of 1.8 mmHg for systolic (high-pressure value) and -3.1 mmHg for diastolic (low-pressure value) with the standard deviation error of 7.2 mmHg and 7.9 mmHg, respectively. These results satisfy the FDA's AAMI standard, which requires a mean error of less than 5 mmHg and a standard deviation of less than 8 mmHg.

Back to Top

1. Introduction

BP provides doctors with insight to initiate their diagnosis. For example, chronic kidney disease, sleep apnea, and adrenal and thyroid disorders can all cause high BP, whereas low BP indicates the possibility of heart or endocrine problems, dehydration, severe infection, or even blood loss. Additionally, uncontrolled elevated BP is a major symptom of many life-threatening diseases, such as hypertension, heart failure or stroke.4 Commonly, the reliable approach to measure BP was done by a health care practitioner using inflatable wrist cuff with a pressure gauge. Since the invention of digital BP devices, nonmedical trained users can self-measure their BP at home, as an acoustic sensor can replace the stethoscope, and a pressure sensor with a DC pump can substitute the pressure gauge and hand pump. However, these devices often cause discomfort and inconvenience for those who need frequent BP monitoring, such as hemodialysis (kidney failure) patients,18 individuals with undiagnosed white coat hypertension or undiagnosed masked hypertension. There is also an increased use of frequent BP monitoring for postoperative organ transplant recipients. In such cases, BP is measured every 30 min for 24 h,9 although each hemodialysis session takes around 4 h. Therefore, there is a significant need for an unobtrusive and comfortable BP monitoring approach. In the case of prolonged dialysis, patients hardly rest because the BP cuff constantly squeezes their arm and often hinders the wearer's mobility. Therefore, by moving the location of measuring BP to inside the ear, our device has a minimal impact in affecting the users' mobility and comfort.

In this paper, we aim to develop a novel wearable system to capture BP inside the ear called eBP, as illustrated in Figure 1. eBP resolves the aforementioned issues with its discreet design, quiet components, and convenient location.  .....'

Tuesday, August 31, 2021

Glove Senses and Maps Tactile Stimuli

 Connecting more intelligently to the sense of touch.

Touchy-Feely Glove Senses, Maps Tactile Stimuli

By MIT News, August 9, 2021

A team of engineers at the Massachusetts Institute of Technology and China's Southern University of Science and Technology has designed a touch-sensing glove capable of "feeling" tactile stimuli.

An array of pressure-detecting sensors inside the glove can detect weak vibrations across the skin, such as from someone's pulse. The sensors operate similarly to humidity-measuring sensors but use human perspiration in place of a dielectric layer; two thin, flat electrodes on the skin form a circuit, and ions from moisture build on the underside of the sensing electrode in response to pressure, changing capacitance between both electrodes. The researchers enhanced the sensing electrode's sensitivity by lining it with thousands of gold bendable "micropillars."

The researchers believe the tactile glove could help to retrain motor function and coordination in people who have lost fine motor skills and could be modified to enhance virtual reality and gaming.

The team describes its work in "Skin-Electrode Iontronic Interface for Mechanosensing," published in Nature Communications.  

From MIT News  with images.

View Full Article   

Tuesday, May 11, 2021

GE Work on COVID Virus Sensor

Considerable value if this works in practice.

GE Scientists Developing Technology to Add COVID-19 Virus Detector to Your Mobile Device

Sensing Materials  in GE Research Press Release

Awarded National Institutes of Health (NIH) grant to develop tiny sensors smaller than your fingertip that can detect the presence of COVID-19 virus nano-particles on screens, tables and other surfaces

Multi-disciplinary team from GE Research will draw from years of development and commercial success with physical, environmental, gas and biosensors for industrial  monitoring

The Team’s work has been featured in journals Nature Electronics 2020 and Lab on a Chip 2021

NISKAYUNA, New York, April 8, 2021 – Building on a suite of successful sensing technologies that have resulted in field demonstrations and a commercial launch for industrial monitoring, GE Research has been awarded a 24-month NIH grant (U01AA029324) of the RADx-rad program to develop miniature sensors that can detect the presence of the COVID-19 virus nano-particles on an array of different surfaces.

“One of the first lines of defense against any virus is avoiding exposure, which is easier said than done when you can’t see it,” said Radislav Potyrailo, a principal scientist at GE Research and principal investigator on the NIH project. “Through our project with the NIH, we are developing a sensor small enough to embed in a mobile device that could detect the presence of the COVID-19 virus.”

Potyrailo added, “We all come into contact with different surfaces during any given day, from computer screens and conference tables to kiosks at the airport and of course, credit card machines at stores while running errands.  While everyone does a great job keeping these surfaces clean, we want to add an extra layer of safety by being able to detect the presence of the virus.”...... "  (Continued) 

Tuesday, April 27, 2021

Quantum Sensing

New concept to me, but very much emerging.   This explains it.

Quantum Sensing Takes Shape   By Samuel Greengard

Commissioned by CACM Staff, April 27, 2021

" ...By measuring movements, rotations, absorption, and numerous other physical properties, quantum sensors can peer into previously invisible places...."

From compasses and thermometers to accelerometers and LiDAR, scientists and inventors have long searched for tools that help uBy measuring movements, rotations, absorption, and numerous other physical properties, quantum sensors can peer into previously invisible places.s understand our world better. Yet these devices typically run into the same basic limitation: they can only detect signals across a relatively narrow spectrum of light, sound, motion, and gravity waves.

That's poised to change. An emerging field called quantum sensing allows scientists to peer deeper into the surrounding world by detecting quantum state changes at an atomic and sub-atomic level. This technology would allow cars to see through fog, doctors to conduct medical scans with millimeter accuracy, and scientists to identify changes in the Earth that lead to seismic events such as earthquakes and volcanic eruptions.

The technology is nothing less than revolutionary. "Quantum sensors take detection far beyond what has ever been possible," says Kai Bongs, a professor in the School of Physics and Astronomy at the University of Birmingham in the U.K. "The field is likely to disrupt science and the economy in a major way."

Deep Sensing

The technology represents a quantum leap in sensing. Explained Jonathan L. Habif, a research assistant professor of electrical and computer engineering and research lead at the University of Southern California (USC), "For hundreds of years, we've modeled light and other properties as a wave based on their physical characteristics. But we're not able to calculate the fundamental structure and limits of nature simply by measuring light, sound or magnetic performance."

Yet characteristics such as light, sound, vibration, pressure, and magnetism are more than electromagnetic waves: "They're quantum mechanical systems," Habif says. This means some characteristics, qualities, and details lie beyond the scope of classical sensors. Yet by measuring movements, rotations, absorption, and numerous other physical properties, quantum sensors can peer into these previously invisible places.

Some quantum methods involve manipulating or "squeezing" photons to produce a higher signal-to-noise ratio, which enables ultrasensitive measurements. Others enhance or alter light-matter interactions. In the latter case, "This uniquely identifies the 'useful' signal from a classical background noise," says Daniele Faccio, Royal Academy of Engineering Chair in Emerging Technologies at the University of Glasgow School of Physics & Astronomy.

"Everything you can do classically, you can do quantum-mechanically," says Federico Spedalieri, a research assistant professor at USC, "but quantum mechanics may allow you to perform some sensing tasks better." In addition, he says quantum mechanics "introduces certain measurements that have no equivalent in classical systems." For example, it would allow a LiDAR system to see through fog, and perhaps around corners. It also makes it possible to develop sensing systems that find buried objects. ... " 

Tuesday, April 13, 2021

LiDAR Test Starts up Again

 Am now finally getting into my LIDAR test,  on a Apple 12 Pro phone for now.   Using the package Polycam, which looks easy to use and is free for the initial testing, then has a monthly fee.  Examples of use here:  https://sketchfab.com/polycam/collections/polycam    And allows you to share scanned models with other packages.    Anyone else doing this?  Lets share a test!

More about how to use LiDAR here.    Below is more background, repeating ... what I placed here earlier to give background.

Did you buy a new iPad Pro? How about a new iPhone 12 Pro? These are the LiDAR apps to try right now, regardless of your background or experience.   By  Brian M Wolfe

The second-generation 11-inch iPad Pro, fourth-generation 12.9-inch iPad Pro, and now the iPhone 12 Pro/Pro Max offer a LiDAR (Light Detection and Ranging) Scanner that will play a huge role in Apple's augmented reality initiatives in the years to come.

Here's more about LiDAR and apps you can use right now on your new iPad Pro to test the technology.

What is LiDAR?

LiDAR uses light to measure distance using invisible pulsating green spectrum lasers. These pulses (which occur thousands of times per minute) measure how long it takes for the light to get back to the sensor. By doing so, it paints a "picture" of the environment in front of the scanner. .... "

Monday, September 07, 2020

Could a Tree Signal if A Corpse is Decaying?

 We worked with satellite and other kinds of imaging to determine the growth and health of forests, as we planned their harvest and replanting for CPG products.   So in theory as mentioned below,  this is possible,  but also depends on lots of other contextual metadata.    So intriguing, but hardly seems a way to broadly hunt for bodies.    Like to see the data in real environments.

Could a Tree SIgnal if a Corpse is Decaying?

By Matt Simon in Wired

SINCE 1980, THE University of Tennessee’s Forensic Anthropology Center has plumbed the depths of the most macabre of sciences: the decomposition of human bodies. Known colloquially as the Body Farm, here scientists examine how donated cadavers decay, like how the microbiomes inside us go haywire after death. That microbial activity leads to bloat, and—eventually—a body will puncture. Out flows a rank fluid of nutrients, especially nitrogen, for plants on the Body Farm to subsume.  ... " 

Using Sound to Classify

Have always promoted the idea of using sound sensors, and sound delivery to activate contextual spaces. Here Carnegie Mellon explores this, calibrating it for sounds. We were more interested in how human behavior could change, their perception was influenced. Here its about robotics and particularly about classification.

Sounds of Action: Using Ears, Not Just Eyes, Improves Robot Perception
Carnegie Mellon University
Byron Spice
August 14, 2020

Carnegie Mellon University researchers have conducted the first large-scale study of interactions between sound and robotic action to determine if sounds could help robots distinguish between objects and identify specific sound-causing actions. The team compiled a dataset from simultaneous video and audio recordings of 60 common objects as they slid or rolled around a tray attached to a robot arm and crashed into its sides, cataloging 15,000 interactions in all. The researchers also collected data by having the robot arm push objects along a surface. They learned, for example, that a robot could use knowledge gleaned from the sound of one set of objects to predict the physical properties of previously unseen objects. Robots that used sound were able to successfully classify objects 76% of the time.

Thursday, May 28, 2020

Wearable Vitamin Sensor

Another wearable sensor example. 

Wearable Sensor Tracks Vitamin C Levels in Sweat
UC San Diego News Center
By Alison Caldwell

A team of University of California, San Diego (UCSD) researchers developed a new wearable sensor that monitors vitamin C levels in perspiration, which could offer a highly personalized option for users to track daily nutritional consumption and dietary compliance. The wearable is an adhesive patch that includes a system to stimulate sweating, and an electrode sensor to rapidly detect vitamin C concentrations. The flexible electrodes contain the enzyme ascorbate oxidase, which converts vitamin C to dehydroascorbic acid; the resulting rise of oxygen triggers a current that the device measures. UCSD's Juliane Sempionatto said, "Ultimately, this sort of device would be valuable for supporting behavioral changes around diet and nutrition."  ... '

Thursday, May 14, 2020

Sony AI Intelligent Image Sensors

What appears to be a considerable means of creating IOT intelligence based on such chips.

Sony Says It Created World’s First Image Sensor With Built-in AI
By Takashi Mochizuki and Vlad Savov in Bloomberg
May 14, 2020, 3:00 AM  

Sony Corp. touted on Thursday the world’s first image sensors with built-in artificial intelligence, promising to make data-gathering tasks much faster and more secure. Calling it the first of its kind, Sony said the technology would give “intelligent vision” to cameras for retail and industrial applications.

The new sensors are akin to tiny self-contained computers, incorporating a logic processor and memory. They’re capable of image recognition without generating any images, allowing them to do AI tasks like identifying, analyzing or counting objects without offloading any information to a separate chip. Sony said the method provides increased privacy while also making it possible to do near-instant analysis and object tracking.  ...  "

See also Sony AI Initiatives:   https://www.sony.net/SonyInfo/sony_ai/

Sunday, April 19, 2020

Sensors for Plant Stress

Possible applications for sensing problems with crops.

Nanosensor can alert a smartphone when plants are stressed
Carbon nanotubes embedded in leaves detect chemical signals that are produced when a plant is damaged.

Anne Trafton | MIT News Office

MIT engineers have developed a way to closely track how plants respond to stresses such as injury, infection, and light damage, using sensors made of carbon nanotubes. These sensors can be embedded in plant leaves, where they report on hydrogen peroxide signaling waves.

Plants use hydrogen peroxide to communicate within their leaves, sending out a distress signal that stimulates leaf cells to produce compounds that will help them repair damage or fend off predators such as insects. The new sensors can use these hydrogen peroxide signals to distinguish between different types of stress, as well as between different species of plants.

“Plants have a very sophisticated form of internal communication, which we can now observe for the first time. That means that in real-time, we can see a living plant’s response, communicating the specific type of stress that it’s experiencing,” says Michael Strano, the Carbon P. Dubbs Professor of Chemical Engineering at MIT.

This kind of sensor could be used to study how plants respond to different types of stress, potentially helping agricultural scientists develop new strategies to improve crop yields. The researchers demonstrated their approach in eight different plant species, including spinach, strawberry plants, and arugula, and they believe it could work in many more.

Strano is the senior author of the study, which appears today in Nature Plants. MIT graduate student Tedrick Thomas Salim Lew is the lead author of the paper.  ... " 

https://www.nature.com/articles/s41477-020-0632-4