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Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors
[article]
2020
arXiv
pre-print
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We show that these sensors paired with embedding-based learning models can be used "in the wild" to capture atypical life events in hundreds of workers across both datasets. ...
We explore the impact of positive and negative life events on a number of psychological constructs through a multi-month longitudinal study of hospital and aerospace workers. ...
This research is based upon work supported by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA Contract No 2017-17042800005 ...
arXiv:2008.01723v1
fatcat:wgd7gvfpg5c7bhkyhheatvqj2a
Recognising Cardiac Abnormalities in Wearable Device Photoplethysmography (PPG) with Deep Learning
[article]
2018
arXiv
pre-print
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ECG monitors are typically used to detect these events in electrical heart activity, however they are impractical for continuous long-term use. ...
Finally we examine how cardiac abnormalities manifest in PPG signal for in- and out-of-hospital patient populations using a wearable device during standard care. ...
For these patients, we have a once-aminute count of the zero or more PVCs detected in their ECG over that minute. ...
arXiv:1807.04077v1
fatcat:hdquo2rwxnacrmo7cftgeomrde
A Pilot Study to Test the Feasibility of a Home Mobility Monitoring System in Community-Dwelling Older Adults
2019
International Journal of Environmental Research and Public Health
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Such a system could be used as a supportive tool to detect and intervene in the case of problematic health issues. ...
Technology has been implemented in a variety of nursing practices. However, little is known about the use of home mobility monitoring systems in visiting nursing practice. ...
(A) Mean+2SDs of the initial 14-C) A day in which atypical sensor outputs were observed Sensor outputs (AIx)
Figure 3 . 3 A typical sensor output of Participant E (F/81-year-old). Int. J. Environ. ...
doi:10.3390/ijerph16091512
pmid:31035678
pmcid:PMC6539780
fatcat:7b42mh2ek5faxiybi3wryzbnha
A Report on Smoking Detection and Quitting Technologies
2020
International Journal of Environmental Research and Public Health
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Most of the existing apps for quitting smoking require the users to register every smoking event. Moreover, only a restricted group of them have been scientifically evaluated. ...
of gestures) and have been conducted with limited numbers of patients as well as under constrained settings quite far from real-life use scenarios. ...
., normal, overweight or obese) categories have a significant impact on the quality of breathing signals. Two different classification models have been developed. ...
doi:10.3390/ijerph17072614
pmid:32290288
fatcat:uh3p7k4ygbeizmiggo7dyjxsc4
LifeLogging: Personal Big Data
2014
Foundations and Trends in Information Retrieval
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This is best seen in the growing popularity of the quantified self movement, in which life activities are tracked using wearable sensors in the hope of better understanding human performance in a variety ...
We have recently observed a convergence of technologies to foster the emergence of lifelogging as a mainstream activity. ...
The authors wish to thank the large number of postdoctoral researchers, PhD students and research assistants who have worked with us over the last decade on various lifelogging projects. ...
doi:10.1561/1500000033
fatcat:lmpz4lsn2jbmtkz4tejukyju24
A Self-Test to Detect a Heart Attack Using a Mobile Phone and Wearable Sensors
2008
2008 21st IEEE International Symposium on Computer-Based Medical Systems
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To achieve this goal we developed a self-test application using a small wearable ECG sensor and a mobile phone. ...
The sensors have to be simple to operate to lower the threshold for a person to take a measurement. It is important to optimise the accuracy versus ease-of-use ratio for sensors. ...
doi:10.1109/cbms.2008.59
dblp:conf/cbms/LeijdekkersG08
fatcat:ll45xtfofbg5tp5dll37ove5iu
I Can't Be Myself
2018
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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Participants have expressed discomfort during the use of ego-centric wearable cameras with first-person view. ...
Wearable sensors can provide reliable, automated measures of health behaviors in free-living populations. ...
The authors acknowledge support by the National Institutes of Health under award number UL1TR001422, and by the Institute of Public Health and Medicine at Northwestern University. ...
doi:10.1145/3264900
pmid:32318649
pmcid:PMC7173726
fatcat:fdgpfzcji5enxbzp5g42f2owpe
MEMS Sensor Technologies for Human Centred Applications in Healthcare, Physical Activities, Safety and Environmental Sensing: A Review on Research Activities in Italy
2015
Sensors
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Finally, the paper will depict the future perspective of sensor technologies and corresponding exploitation opportunities, again with a specific focus on Italy. ...
Over the past few decades the increased level of public awareness concerning healthcare, physical activities, safety and environmental sensing has created an emerging need for smart sensor technologies ...
Conflicts of Interest The authors declare no conflict of interest. ...
doi:10.3390/s150306441
pmid:25808763
pmcid:PMC4435109
fatcat:k66xoar3kjhgbj6fe5fmvsaleq
An Integrated Approach for the Monitoring of Brain and Autonomic Response of Children with Autism Spectrum Disorders during Treatment by Wearable Technologies
2016
Frontiers in Neuroscience
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Wearable technologies can provide data in a semi-naturalistic setting, overcoming the limitations given by the constrained situations in which physiological signals are usually acquired. ...
The system allowed evidencing changes in neurophysiological and autonomic response from the state of disengagement to the state of engagement of the children, evidencing a cognitive involvement in the ...
ACKNOWLEDGMENTS We would like to thank the children and the families that participated in the study. ...
doi:10.3389/fnins.2016.00276
pmid:27445652
pmcid:PMC4914552
fatcat:e6qdweilobal5jrbw7ew7qbci4
Using wearable sensors and real time inference to understand human recall of routine activities
2008
Proceedings of the 10th international conference on Ubiquitous computing - UbiComp '08
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We used a novel wearable sensor platform that runs a real time activity inference engine to collect in situ ground truth. ...
Our results suggest that a sampling frequency of five to eight times per day may yield an optimal balance of recall and annoyance. ...
Equipment Ground truth activity data was collected using the Mobile Sensor Platform (MSP) [16] , a pager-size device worn clipped at the waist that uses 10 sensors to detect a wide range of physical activities ...
doi:10.1145/1409635.1409656
dblp:conf/huc/KlasnjaHLLFH08
fatcat:umkx7mbvyjfflmhnlb3kj72gju
Trustworthiness Assessment of Wireless Sensor Data for Business Applications
2009
2009 International Conference on Advanced Information Networking and Applications
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With the definition of new operators for the subjective logic, we develop a trust model, that allows to detect erroneous sensor data which are originated either unintentionally by malfunctioning of sensor ...
We rely on the Subjective logic framework to compute the probability that sensor data are trustworthy enough to be used by an application. ...
Besides, in [19] , the authors use the consensus operator, which computes a fused opinion of several entities about a same event. ...
doi:10.1109/aina.2009.92
dblp:conf/aina/GomezLS09
fatcat:kohzcldj4bdqvgvicguvbvogdq
AffectAura
2012
Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems - CHI '12
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We evaluate the interface through a user study consisting of six users and over 240 hours of data, and demonstrate the utility of such a reflection tool. ...
The system continuously predicts a user's valence, arousal and engagement, and correlates this with information on events, communications and data interactions. ...
[14] have discussed the idea of an emotional prosthetic using wearable sensors to aid understanding and interpretation of emotion. ...
doi:10.1145/2207676.2208525
dblp:conf/chi/McDuffKKRC12
fatcat:tj23ulqplvdfnbvk53redi7ahq
The 8th International Conference on Ambulatory Monitoring of Physical Activity and Movement
2021
Journal for the Measurement of Physical Behaviour
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Introduction: This study aimed to compare different algorithms in the implementation of an event-based analysis method of the daily walking pattern using wearable monitors to quantify walking pain manifestation ...
significantly increased the allocation of ischemic events, had a more consistent difference between the mean and the maximal pain-free and maximal walking times, and previously provided better detection ...
Furthermore, the composition of the grouped events comprised of short standing events and a few long walking events. ...
doi:10.1123/jmpb.2021-0036
fatcat:jjorxdbelrbn7ngkj6542uq4zu
Robust Stride Detector from Ankle-Mounted Inertial Sensors for Pedestrian Navigation and Activity Recognition with Machine Learning Approaches
2019
Sensors
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It is able to detect 100% of both normal walking strides and more than 97% of atypical strides such as small steps, side steps, and backward walking that existing methods can hardly detect. ...
Compared to most algorithms in the literature, this original method does not use a fixed-size sliding window but infers this last in an adaptive way. ...
in six minutes by walking) can be impacted by the fitness condition of the day without being correlated with patient health. ...
doi:10.3390/s19204491
pmid:31623248
pmcid:PMC6833053
fatcat:2tf6p262dvgwhebiwbqb2oifpy
Quali-Mat
2022
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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In this work, we present Quali-Mat: a method for evaluating the quality of execution (QoE) in exercises using a smart sports mat that can measure the dynamic pressure profiles during full-body, body-weight ...
We have investigated various machine learning algorithms targeting the specific type of spatio-temporal data produced by the pressure mat system. ...
ACKNOWLEDGMENTS This work has been supported by BMBF (German Federal Ministry of Education and Research) in the project SocialWear (01IW20002). ...
doi:10.1145/3534610
fatcat:gqh462pk4bdarexywdqdkilwae
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