A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Filters
Sensing Muscle Activities with Body-Worn Sensors
International Workshop on Wearable and Implantable Body Sensor Networks (BSN'06)
Preserved Fulltext
Generally the isolated activation of muscles in deeper body layers cannot be monitored by a mechanical sensing approach, however the same is generally valid for surface EMG. ...
with the user's activity. ...
doi:10.1109/bsn.2006.48
dblp:conf/bsn/AmftTLS06
fatcat:26da4tlscvcptdcdo7c5ihftyu
Multi-Functional Soft Strain Sensors for Wearable Physiological Monitoring
2018
Sensors
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
These include a pressure-sensitive insole sensor which can detect ground reaction forces and a strain sensor which can be worn over clothes to allow the measurements of heart rate, breathing rate, and ...
To demonstrate the versatility and range of sensitivity of this base sensing material, two wearable sensors have been developed which show the detection of different physiological parameters. ...
Strain-detecting sensors can also be used to detect muscle activity such as grasping, or lifting [15] , enabling the identification of activity. ...
doi:10.3390/s18113822
pmid:30413011
fatcat:bx7c5pby6zb7dln4k7coz3dnku
Making Sensors, Making Sense, Making Stimuli: The State of the Art in Wearables Research From ISWC 2019
2020
IEEE pervasive computing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Following on the last eight years of successful collaboration, ISWC was colocated with the ...
of on-body biotelemetry for canines. 14
ACTIVITY AND GESTURE RECOGNITION Methods and applications for detecting human activities and gestures from body-worn sensors remain two of the most popular ...
styles, and sensing leg muscle contractions in rehabilitation using a novel ultrasonic sensor. ...
doi:10.1109/mprv.2020.2964088
fatcat:cswvp7mlynbpba6vmoledsxj6m
Wearable Sensing for Solid Biomechanics
2015
IEEE Sensors Journal
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
The main technical challenges, including measurement drift, external interferences, nonlinear sensor properties, sensor placement, and muscle variations that can affect the accuracy and robustness of existing ...
With recent developments in wearable sensing technologies, biomechanical analysis can be conducted in less constrained environments, thus allowing continuous monitoring and analysis beyond laboratory settings ...
For example, Young [97] combines the human body model with the rotational parameters of each inertial sensor worn on the body to more accurately estimate acceleration. ...
doi:10.1109/jsen.2015.2393883
fatcat:sgnyhgnafjhk5ozq4tmvwzbemq
On-Body Sensing: From Gesture-Based Input to Activity-Driven Interaction
2010
Computer
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
As Unobtrusive body-worn sensors can continuously interpret user activity and react proactively in sports, personal health, and many other application areas. Int'l Symp. ...
Researchers have also devoted considerable attention to body-worn cameras. ...
doi:10.1109/mc.2010.294
fatcat:xrq4ldbdzjgexblxboxqmwtprm
Unobtrusive Sensing of Psychophysiological Parameters
[chapter]
2008
Probing Experience
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Initially the sensors will be worn on the body, but ultimately implantable sensors will become widely accepted, allowing access to new parameters, such as hormone levels and body core temperature. ...
Remote and non invasive sensing technologies are discussed for the sensing of the following psychophysiological parameters: heart rate variability, and muscle stress. ...
Because of the fact that we deal with body worn sensor devices, skin contact is quite often the case. ...
doi:10.1007/978-1-4020-6593-4_15
fatcat:jzuydzi3kjgonaccbtgtvrcrmu
Perspective—Longitudinal Sleep Monitoring for All: Payoffs, Challenges and Outlook
2022
ECS Sensors Plus
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Here, we survey the current state of sleep trackers and highlight key shortcomings to provide guiding principles for improved sensor system design. ...
We believe that human-centered design of multimodal, low-form-factor, comfortable sensing systems is needed for this increasingly-important area of human health monitoring. ...
However, since some sleep stages are also associated with certain types of eye movements and muscle activities, electrooculography (EOG) and electromyography (EMG) measurements are also recorded in tandem ...
doi:10.1149/2754-2726/ac59c1
fatcat:4ix2xqi55rfjndje4dut2r6bnq
Wearable Devices for Assessment of Tremor
2021
Frontiers in Neurology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The aim of this review is to present systematically such new solutions, trying to highlight their potentialities and limitations, with a hint to future developments. ...
Tremor is an impairing symptom associated with several neurological diseases. Some of such diseases are neurodegenerative, and tremor characterization may be of help in differential diagnosis. ...
(30) used a wrist-worn device equipped with an IMU and statistical pattern recognition algorithms to discriminate upper limbs tremor from normal daily activities. ...
doi:10.3389/fneur.2021.680011
pmid:34177785
pmcid:PMC8226078
fatcat:zbnvdcuf4nesragls5wmp4bgxu
Wearability in wearable computers
2008
2008 12th IEEE International Symposium on Wearable Computers
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This tutorial will provide the participant with an overview of the pertinent variables and design considerations for the design of truly wearable technologies. ...
Wearability, or the relationship between a worn technology and the ability or desire of the user to wear it, is a key element in the successful design of wearable technologies. ...
Sensing the body • useful things to sense and how we sense them • impact of wearability on signal-to-noise ratio a. electro-dermal sensors b. inertial sensors iii. ...
doi:10.1109/iswc.2008.4911605
dblp:conf/iswc/Dunne08
fatcat:4cnatckv4zaxlhtzx3qewoi4oe
Wellness, Fitness, and Lifestyle Sensing Applications
[chapter]
2013
Sensor Technologies
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
Physical fitness is not only one of the most important keys to a healthy body; it is the basis of dynamic and creative intellectual activity. -John F. ...
In a broader context, pervasive sensing in our homes and leisure areas will provide passive monitoring on a long-term basis of our physical activities, interactions with our environment, and other physiological ...
Personal body-worn sensors: This is probably the most common method of sensing fitness and wellness. ...
doi:10.1007/978-1-4302-6014-1_10
fatcat:oertg3iqwjbn5jbntmoqd27rsi
Monitering System for Human Activity
2016
INTERNATIONAL JOURNAL OF EMERGING TRENDS IN SCIENCE AND TECHNOLOGY
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
Smart sensing system based on the wearable sensor monitor all the physiological parameters of the patient along with other symptoms. Sensors detect abnormal situations by monitoring patient. ...
Without hospitalization continuous monitoring of patients is possible with help of smart sensing system. ...
So with help of wearable sensor it is possible to monitor patient's activity continuously so that wearable sensor is very light sensors that could be worn on the body to perform monitoring of patients. ...
doi:10.18535/ijetst/v3i07.12
fatcat:hcgoguw3lnawzbuu4nrulloana
Getting a sense of touch
2021
Nature Electronics
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Wearable sensors and machine learning can be a powerful combination for capturing human gestures and tactile interactions. ...
Last year, for instance, it was shown that yarn-based stretchable sensors that are worn over the hand can -with the help of machine learningrecognize various hand gestures 1 . ...
patterns and is equipped with in-sensor adaptative machine learning 3 . ...
doi:10.1038/s41928-021-00567-z
fatcat:2glsjzykj5cgbfb65dd5oc72gq
FX e-Makeup for Muscle Based Interaction
[chapter]
2014
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
FX e-makeup is a Beauty Technology prototype that applies FX makeup materials embedded with electronics for sensing the face's muscles. ...
Our aim with Beauty Technology is to transform our body in an interactive platform by hiding technology into beauty products for creating muscle based interfaces that don't give the wearer a cyborg look ...
During a voluntary action, sensor mechanisms generate a sense of body ownership; however, only action provides a coherent sense of the whole body. ...
doi:10.1007/978-3-319-07635-5_61
fatcat:4ntdau3y4beefkrsek6qq74ude
WristFlex
2014
Proceedings of the 27th annual ACM symposium on User interface software and technology - UIST '14
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Using an array of force sensitive resistors (FSRs) worn around the wrist, the interface can distinguish subtle finger pinch gestures with high accuracy (>80%) and speed. ...
WristFlex's sensor power consumption is 60.7 µW, allowing the prototype to potentially last more then a week on a small lithium polymer battery. ...
Previous research showed some success with muscle activity recognition using arm-worn pressure sensors [2] . ...
doi:10.1145/2642918.2647396
dblp:conf/uist/DementyevP14
fatcat:t6dxzdmktbg57mc6h7g5nk4oza
Myoelectric Potential Visualization Using Butterworth Band pass Filter
2020
International Research Journal on Advanced Science Hub
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
(SPU), PWM method, capacitive sensing method, UML method, EIM method, ADU integration, MC sensors method, Human computer interfacing (HCI) technology and Functional electrical stimulation (FES) . ...
Thus the expected configuration result will be with an accuracy of 98.74%, mean specificity of 99% and with a mean sensitivity of 96.58%.So the error occurrence will be Approximately 0.5% and also system ...
Roy proposed the system for physical activity by using body worn sensors. ...
doi:10.47392/irjash.2020.220
fatcat:nnfbhik5pzeo3nrv5xqnrmxzem
« Previous
Showing results 1 — 15 out of 5,291 results