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Thursday, 31 March 2016

Vibration sensor helps analyze sense of touch

Type an email on your computer. Raise a glass to your lips. Feel for the light switch in a dark room. Simple, everyday tasks can demand subtle interactions between our hands and our surroundings, but, surprisingly, much remains unknown about the mechanics of the sense of touch.
"Most people don't have a very clear picture of how touch sensation actually arises," said UC Santa Barbara faculty member Yon Visell, an assistant professor in the Department of Electrical and Computer Engineering and in the campus's Media Arts and Technology graduate program. While people are familiar with touch as consisting of the interaction between two surfaces -- the skin and whatever it is in contact with -- they are less aware of the subtle ways that touch sensing helps us to identify and navigate our surroundings, he said.
For instance, if your fingers are numb, you may still be able to move them, but be hesitant to pick up an object or send a text message, because of the lack of sensation -- think of what happens when your foot or arm falls asleep. According to a study co-authored by Visell that appears in the Proceedings in the National Academy of Sciences, our hands in particular have access to rich tactile information that travels far beyond the tips of our fingers. This may help to explain some remarkable capabilities of the sense of touch -- why, for example, people whose fingers have been anesthetized are still able to feel fine surface detail, as has been demonstrated in prior research.
"The way they seem to be able to do this is by using mechanical signals, or vibrations, that travel beyond the fingers, farther up the arm," said Visell. "The hand has specialized sensory end organs distributed widely in it that can capture such mechanical vibrations at a distance."
Their study used a specialized array of tiny accelerometers, or vibration sensors, worn on the sides and backs of the fingers and hands. With this device, the researchers were able, for the first time, to capture, catalog and analyze patterns of vibration in the skin of the whole hand that were produced during active touch. Actions such as tapping and sliding one or several fingers over different types of material, as well grasping, gripping and indirect tapping (using an object to tap on a surface) all gave rise to distinctive vibration signatures. "We can liken this to the different ways that a bell will sound if it is struck by a metal hammer or a rubber mallet," said Visell.
"How do those signals reflect what it is that we're doing and what it is we're touching? Do parts of the hand nearer to the wrist receive significant information about the shape of the object that we're touching, what it's composed of, or how we're touching it? How are different parts of the hand involved in touch sensing?" Visell said of the fundamental questions that motivated his group to pursue this research. "It is possible that the hand, like the ear, is able to use vibrations produced through contact in order to infer what is being touched, and how the hand is touching it."
According to the study, the vibrations generated through touch, and the distribution of vibrations in the hand, depend very closely on the type of action and the object being manipulated. For instance, vibration patterns produced by tapping a single finger were stronger than those made by grasping, gripping or sliding, but were much more localized in the finger. The patterns of vibration throughout the skin of the hand also varied according to the number of fingers used, the object being manipulated and the action being performed. Tapping the index and middle finger alone was sufficient to elicit vibrations that covered most of the surface of the hand. Even the size of the object being grasped - for example, whether a glass was small or large -- influenced the vibrations that were felt by the hand.
The applications for the information gained in this study are many. They may contribute not only to the foundations of our understanding of touch, but also contribute to fields such as virtual reality by enabling wearable technologies that allow the user to feel if he or she is picking up a feather or a brick while visiting a virtual world. This work may also enable robots to touch and interact more effectively within changing and uncertain environments, and allow future generations of prosthetic hands to provide their wearers with more natural touch feedback, enabling a greater range of functionality to be restored.

Tuesday, 15 March 2016

PIEZOELECTRIC SMART MATERIALS GLOBAL MARKET2016-2020

A new report has been added by wiseguyreports in its research database. This market research study segments the global piezoelectric smart materials market by type (ceramics, polymers, and composites), by application (motors, transducers, sensors, and building materials), and by end-users (transportation, healthcare, leisure and sports, construction and infrastructure, and agriculture and food). This report also segments the industry by geography (the Americas, APAC, and EMEA). The key vendors identified in the market are AAC Technologies, Advanced Cerametrics, Arkema, KYOCERA, and Solvay.

Outlook of the piezoelectric smart materials market

Smart materials are special building materials whose properties change when subjected to external stimuli such as stress, temperature, moisture, pH, or magnetic field.  Piezoelectric materials are a class of smart materials that produce a voltage when mechanical stress is applied. These materials are widely used in sensors and help in measuring fluid density, the force of impact, and fluid composition. Technavio’s market research analysts have estimated the global piezoelectric smart materials market to grow at an impressive CAGR of close to 13% over the forecast period. The increasing demand for piezoelectric smart materials from the military and aerospace sector is expected to drive the market for piezoelectric smart materials globally. These materials help in controlling the airflow across the wings of an aircraft and maintaining it during take-off and landing. Furthermore, these materials are also used to solve common problems with the aircraft, such as engine vibration, high cabin noise levels, ice formation on wings, flow separation due to turbulence, and control surfaces in cold climatic conditions. Also, piezoelectric materials find extensive applications in military and defense sector like smart sensors, smart nanorobotics, smart combat suits, and smart skins. Therefore, the numerous applications of piezoelectric smart materials in military and aerospace industry will spur the growth of this market until the end of 2020.

In this market research study, analysts have estimated factors like the increasing applications of piezoelectric materials in nanotechnology to impel the prospects for market growth until the end of the forecast period. For example, piezoelectric smart materials are used in the manufacture of smart nanofibers that are used in light-emitting transistors and advanced organic solar cells. The recent advancements in the nanotechnology sector will, in turn, bolster this market’s growth potential during the forecast period.

Segmentation by application and analysis of the piezoelectric smart materials market

  • Motors
  • Transducers
  • Sensors
  • Building materials


During 2015, the automobile motors industry dominated the piezoelectric smart materials market with a market share of more than 60%. Factors such as rapid growth in the automobile industry will translate into the demand for piezoelectric materials during the forecast period.

Geographical segmentation of the piezoelectric smart materials market

  • Americas
  • APAC
  • EMEA


In this market study report, the analysts have estimated the Americas to be the largest market for piezoelectric smart materials during the forecast period. The increasing demand for MEMS sensors, used in airbags and anti-lock braking systems, will translate into the demand for piezoelectric smart materials in the Americas. The market for piezoelectric smart materials will account for a market share of more than 47% until the end of 2020.

Complete report in detailed: https://www.wiseguyreports.com/reports/global-piezoelectric-smart-materials-market2016-2020

Tuesday, 2 February 2016

Global Vibration Sensor Market is Expected to Exceed USD 33 Billion by 2020


Technavio analysts forecast the global vibration sensor market to post a CAGR of over 6% during the forecast period. In order to calculate the market size, Technavio considers revenue generated from the sales of vibration sensors in the following application segments: aerospace, automotive, industrial machinery, healthcare, and consumer electronics.

The four major factors responsible for the growth of global vibration sensor market are as follows:
  1. Stringent road safety regulations
  2. Rising need for machine monitoring
  3. High demand for effective maintenance
  4. Slow replacement cycle of old machines
Read full article: http://www.businesswire.com/news/home/20160201005500/en/Technavio-Expects-Global-Vibration-Sensor-Market-Exceed 

Monday, 18 January 2016

Contact-Free Monitoring - Enabling Technologies & Emerging Opportunities (Technical Insights) : Monitoring every moment without physical presence

Contact-free monitoring (CFM), an emerging technology domain is likely to impact applications related to automation, digitalization and smart devices. This technology aids in monitoring and detecting motion of a moving object or human activity. CFM employs advanced sensors to monitor properties such as temperature, vibration, speed, phase, velocity and direction of the object. CFM introduces new dimensions to healthcare market by effectively measuring patient movements, pulse rate, heartbeat, sleep timing and many other vital parameters. The report captures advanced sensor technologies used for contact-free monitoring such as Micro Doppler sensor, Thermography sensor, Micro Wave sensor and Fiber Bragg Grating. The main application of contact-free monitoring is automation; however the technology finds use in many new sectors such as Health Care, Industrial Process Control, Automotive & transportation and Aerospace & Defense. Smart cities, smart house, Internet of Things also enable faster adaption of contact-free monitoring. The research service focusses on covering emerging opportunities of contact-free monitoring. The modules of the report include: technology significance, current trends, applications landscape, enabling technology and emerging opportunity assessment.

Key Findings – Enabling Technology and Application Impact

Sensors play a key role in facilitating adoption

Sensor technology has advanced to an extent that it now plays a vital role in many application segments such as Health care, Aerospace, defence, Automotive and transportation. Sensor technologies are used for monitoring, tracking and detecting purpose, thereby helping us analysing object and activities. 

-Contact-free monitoring is an enterprise system that embeds multiple applications to monitor and provide solutions without touching the object or humans. 

Contact-free monitoring finds potential use in health care applications where there is a need for continuous and real-time monitoring of patients. This improves the quality and accuracy of the treatment. Moreover, Contact-free monitoring is enabled by wireless communication, touch-free technology, advanced sensors, and smart devices.

Application Impact

The impact of contact free monitoring in applications areas such as healthcare and security industry is immense and is expected to delivers numerous benefits to the users. 

-Applications which are majorly impacted in the healthcare industry include monitoring patient activity in hospital beds, analysing their’ physical conditions and their response to medical treatment. 

-Future applications of contact-free monitoring in this industry would include analyzing, monitoring, and recording details about the specific body functions such as, functioning of heart, blood profile, pulse, brain activity, kidney, and liver.

-Contact-free monitoring is expected to have a high influence in the security industry for applications such as tracking of speeding vehicles, detecting driver information from vehicles, remote monitoring of vehicles, monitoring cargo movement, and remote tracking of illicit cargo activity.

Wednesday, 13 January 2016

Wind farm failure prediction via Piezo Sensor

Engineers have developed a piezoelectric sensor that lets wind farm operators know when bearings are about to fail, a development that could prevent costly downtime.

The sensor, developed by Wenqu Chen, a mechanical engineering research student at Sheffield University, uses ultrasonic waves to measure the load transmitted through a bearing in a wind turbine.
A limiting factor with wind turbines is gearbox reliability, particularly in relation to bearings where manufacturers and operators have faced issues with reliability. Failures come from the fact that these are big bearings subject to quite unusual loading.They’re subject to high dynamic loading and they’re failing in ways that aren’t usually seen on more conventional bearings seen in trucks and cars and process machinery. The 2mm2 sensor has been validated in the lab and is currently being tested at the Barnesmore wind farm in Donegal, Ireland by Ricardo.

Prof Dwyer-Joyce, director of the Leonardo Centre for Tribology at the University said the patented sensor has been installed in the raceway of a transmission bearing, adding that the raceway compresses slightly as the ball and roller pass over it. "We pick up that compression and that compression depends on the load applied to the ball in the first place,” he said. “It’s that stress…which is going to control the life of the bearing."

The time of flight of the ultrasonic pulse from the sensor is affected by the stress level in the material, making the new method the first to directly measure the transmitted load through the rolling bearing components.

Current sector-related condition monitoring methods come in the form of acoustic emission signal, vibration sensing, or oil debris analysis that alert operators to damage after it has occurred, which puts the new sensor – and its size – at an advantage.

For full article click here: https://www.theengineer.co.uk/piezo-sensor-predicts-wind-farm-failure/ 

Tuesday, 5 January 2016

India to develop its FIRST anti-tank mine

Instead of procuring from US or Israel, country's defense forces will soon be self-reliant with the first indigenous off-route or anti-tank mines. These are improvised explosive devices (IEDs), which explode like a projectile while camouflaged and placed on a tripod stand.

The mine, unlike conventional mines, is not buried underground and needs no pressure when placed underneath a vehicle for activation. To be developed by the Terminal Ballistic Research Laboratory (TBRL), a Defense Research and Development Organization (DRDO) laboratory in Chandigarh, and the Central Scientific Instruments Organisation (CSIO), the mine is used in surfaces where underground burial is not possible. The project began six months ago and was reviewed by DRDO experts early this week. It is expected to be completed in another four years.

The incoming target combat vehicle shall be detected using seismic and acoustics sensors, which shall be made by the CSIO. The sensors fitted in these mines can detect seismic vibrations produced when vehicles such as tanks head towards ambush area. When acoustic and seismic sensors detect approach of a suitable target, the infra-red sensors (IR) in it are also activated. These IR sensors can send images of the target for attack. Consequently, after the target is confirmed, all these sensors trigger the warhead of the mine to project towards the target as it comes before it.

The TBRL plans to have a smart mine trap using these anti-tank mines. "Until the target does not approach, the off route mines can be kept on sleep mode, which can conserve the battery required for its operation," said Manjit Singh, director TBRL. He said, "We are working with CSIO on production of special seismic sensors, which can detect the potential target approaching us and also give a wake-up call to the operator as soon as the target approaches."

The anti-tank mine is portable and suitable for both offensive and defensive operations. The range of the off-route mine is 2 to 97 meters. The collaborators are working towards enhancing the range. The CSIO already has special sensors, being used in Delhi metro, to provide advanced earthquake warning system. "These sensors shall be improvised and worked upon for defense application," said CSIO director R K Sinha.

How it works

  • The off-route mine is placed in the range 2-97 m from the target on a tripod stand
  • It does not require any pressure of a vehicle for explosion
  • These mines cannot be detected easily
  • Its acoustic vibration (seismic) and infra-red sensors are triggered when a combat vehicle nears the trap, the mine is activated and shoots off a projectile.

Monday, 21 December 2015

Sensors now helping elderly too in prompting next task

A new device has been developed at Washington State University which is designed to
work with smart home systems that would provide memory cues to help residents get back
on track when they are unsure of what to do next.

Maureen Schmitter-Edgecombe, professor of psychology, is part of WSU’s Center for
Advanced Studies in Adaptive Systems (CASAS). Her team of graduate students is working
with colleagues in electrical engineering and computer science to develop technology
to help people remember to do tasks like taking their medicine, preparing meals and
performing physical therapy exercises.

Schmitter-Edgecombe and Diane Cook, professor of electrical engineering and computer
science, have been testing and refining the WSU smart home for the last seven years.
It uses sensors on the walls, doors and various household objects to help monitor,
predict and ultimately improve quality of life, especially in care of the elderly.

The system predicts when cognitively impaired people are between activities and
may need a prompt to perform a new task. It comes in a box and can be installed in
an apartment or home relatively easily. It consists of roughly 30 infrared, motion
and vibration sensors that look at patterns of behaviors – such as whether a certain
activity has happened before, when it took place and how long it lasted – and then
deduce what’s going on.
Over time, the system uses this information to determine when the home’s inhabitant
has completed a specified task and might need a prompt to perform a new one.

To test their system, the research team collected data from two experiments. One was
conducted at the smart home on the WSU Pullman campus. The other took place at a
retirement community in Seattle where smart homes have been installed in eight
apartments.
For the second experiment, each of the apartments housed a single older adult who was
asked to go about daily routines while the wireless sensors collected data. Every day,
the researchers analyzed three hours of data starting when the participants first
awoke. The system was able to accurately predict periods of transition between
activities 80 percent of the time.

“The smart home is able to recognize the short period of time after visitors leave
and before the resident starts a new activity,” said Kayela Robertson, a psychology
postdoctoral candidate working on the project. “We are starting to develop a tablet-
or smart phone-based application that integrates with the smart home to provide a
prompt to perform a new task during this transition.”
For example, the smart home used data from sensors on the front door and in the living
room to determine when visitors arrived, how long they stayed and when they left.

The goal is to develop an easy-to-use and portable tool that would provide reminders
to perform a number of important activities.
The technology could also provide smart home occupants with a list of activities
they’ve done throughout the course of the day and give healthcare providers and loved
ones a better idea of how their aging patients, parents or other family members are
doing, whether they live nearby or in another state.

Read the full article: https://news.wsu.edu/2015/12/15/device-prompts-elderly-to-remember-next-task/