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Wrist sensors — An application to acquire sensory data from Android Wear® smartwatches for connected health
2017
2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)
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The devices have been installed with their own built-in Android Wear heart rate measurement application, as well as two commercial applications of the same purpose. ...
The use of smartwatches with built-in physiological sensors allows for the detection of cardiac rhythm and potentially some related therapeutic procedures. ...
The use of smartwatches with built-in physiological sensors allows for the detection of cardiac rhythm and potentially some related therapeutic procedures. ...
doi:10.1109/bhi.2017.7897221
dblp:conf/bhi/KilintzisMM17
fatcat:fwzcrd2wzrbbfkgxfqv3plolau
Sensors and Functionalities of Non-Invasive Wrist-Wearable Devices: A Review
2018
Sensors
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Wearable devices have recently received considerable interest due to their great promise for a plethora of applications. ...
This paper provides a comprehensive review of sensors used in wrist-wearable devices, methods used for the visualization of parameters measured as well as methods used for intelligent analysis of data ...
[51] presents a system that used machine learning techniques to determine sleep quality from accelerometer and heart rate sensors on a wrist-worn Android smartwatch. ...
doi:10.3390/s18061714
pmid:29799504
pmcid:PMC6021794
fatcat:wa72j4seube55ikk6xqygs57ie
Deep Convolutional Neural Network with RNNs for Complex Activity Recognition Using Wrist-Worn Wearable Sensor Data
2021
Electronics
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Sensor-based human activity recognition (S-HAR) has become an important and high-impact topic of research within human-centered computing. ...
However, the growing requirements of many current applications for recognizing complex human activities (CHA) have begun to attract the attention of the HAR research field when compared with simple human ...
Android Wear 1.5 (LG G Watch). ...
doi:10.3390/electronics10141685
fatcat:zvruy7iqkfbvvll4eml7cw2lca
SmartEAR
2018
Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
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Wrist-bands such as smartwatches have become an unobtrusive interface for collecting physiological and contextual data from users. ...
In this paper, we used data collected from the AnEAR framework leveraging smartwatches to gather and store physiological data from patients in naturalistic settings. ...
This research was supported in part by a National Institutes of Health (NIH) grant, No.: GS501100001809. ...
doi:10.1145/3278576.3278599
dblp:conf/chase/BorthakurPDGM18
fatcat:e32wgodhs5d2dhqar7f2oybjtq
SmartEAR: Smartwatch-based Unsupervised Learning for Multi-modal Signal Analysis in Opportunistic Sensing Framework
[article]
2018
arXiv
pre-print
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Wrist-bands such as smartwatches have become an unobtrusive interface for collecting physiological and contextual data from users. ...
In this paper, we used data collected from the AnEAR framework leveraging smartwatches to gather and store physiological data from patients in naturalistic settings. ...
The Microsoft SDK exposes data from the sensors as streams, and applications can subscribe to this sensor streams. The table below shows some of the available sensor streams their sampling rates. ...
arXiv:1808.06473v1
fatcat:oek77jkdmzbovicii773vlpcya
UniMiB AAL: An Android Sensor Data Acquisition and Labeling Suite
2018
Applied Sciences
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This is justified by the many application domains that benefit from the application of these techniques, which span from entertainment to health support. ...
Usually, human activities are classified by analyzing signals that have been acquired from sensors. ...
Acknowledgments: The authors wish to thank Luca Lo Russo and Giuseppe Paris for their support in developing the applications.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/app8081265
fatcat:7is7t6uzsvgyfjfforfhzrcpee
A Report on Smoking Detection and Quitting Technologies
2020
International Journal of Environmental Research and Public Health
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Mobile health technologies are being developed for personal lifestyle and medical healthcare support, of which a growing number are designed to assist smokers to quit. ...
We searched PubMed and Scopus databases (2008-2019) for studies on mobile health technologies developed to assist smokers to quit using a combination of Medical Subject Headings topics and free text terms ...
Moreover, the way by which a user wears the smartwatch/armband differs from person to person. ...
doi:10.3390/ijerph17072614
pmid:32290288
fatcat:uh3p7k4ygbeizmiggo7dyjxsc4
Review of Wearable Devices and Data Collection Considerations for Connected Health
2021
Sensors
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Wearable sensors can be used to detect and quantify specific movements in different applications. ...
This paper discusses current techniques used to track and record various human body movements, as well as techniques used to measure activity and sleep from long-term data collected by wearable technology ...
Acknowledgments: Thank you to the supervisory team.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21165589
pmid:34451032
pmcid:PMC8402237
fatcat:qubolay6wjb35orvkwtunwz7e4
ExerSense: Physical Exercise Recognition and Counting Algorithm from Wearables Robust to Positioning
2020
Sensors
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The wrist-mounted smartwatch is third, and the worst one is the ear-mounted sensor. ...
We collected acceleration data for five types of regular exercises by four different wearable devices. ...
Then, in the practice mode, the recorded sensory data are compared with the previously acquired data. ...
doi:10.3390/s21010091
pmid:33375683
fatcat:xbbnxa4imbahtfqncrl3d7siza
EchoWear
2015
Proceedings of the conference on Wireless Health - WH '15
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We have designed EchoWear, a smartwatch-based system, to remotely monitor speech and voice exercises as prescribed by SLPs. ...
Our preliminary analysis shows promising outcomes for using EchoWear in speech therapies for people with PD. ...
The authors would like to appreciate the kind support of the patients and the healthy individuals who took part in this study. ...
doi:10.1145/2811780.2811957
dblp:conf/wh/DubeyGAMM15
fatcat:tnnb5hdr6fhpzgfoml2o2i3ssy
Multimodal Sensor Data Integration for Indoor Positioning in Ambient-Assisted Living Environments
2020
Mobile Information Systems
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The primary purpose of this research is to examine the viability of leveraging other sensors in aiding the positioning system to provide more accurate predictions. ...
Furthermore, this paper assesses a set of techniques to predict the future performance of the positioning system based on the training data, as well as complementary strategies such as data scaling and ...
for her contribution to the organization of the experiments. ...
doi:10.1155/2020/5204158
fatcat:7xiunocjpnhrlpz3ntiktd44c4
EchoWear: Smartwatch Technology for Voice and Speech Treatments of Patients with Parkinson's Disease
[article]
2016
arXiv
pre-print
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We have designed EchoWear, a smartwatch-based system, to remotely monitor speech and voice exercises as prescribed by SLPs. ...
Our preliminary analysis shows promising outcomes for using EchoWear in speech therapies for people with PD. ...
The authors would like to appreciate the kind support of the patients and the healthy individuals who took part in this study. ...
arXiv:1612.07608v1
fatcat:2jywg4f53zbkrpcxabn5xadquu
A Review of Heartbeat Detection Systems for Automotive Applications
2021
Sensors
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We conclude that, for the time being, detection methods using in-vehicle devices and in-vehicle cameras are expected to remain dominant, while devices that can detect health conditions and abnormalities ...
simply by driving as usual are expected to emerge as future applications. ...
Institutional Review Board Statement: Not applicable. Informed Consent Statement: Not applicable.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/s21186112
pmid:34577320
pmcid:PMC8469255
fatcat:fsvibam23fbt5ie5b7l5co6q2y
Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches
2022
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
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Automatically recognizing a broad spectrum of human activities is key to realizing many compelling applications in health, personal assistance, human-computer interaction and smart environments. ...
Our analysis underscores the feasibility of high-performing recognition of daily activities using inertial-acoustic data from practical off-the-shelf wrist-worn devices while also uncovering challenges ...
B C D E F G H I J K L M N O P Q R S T U V W
Hardware Setup Fossil Gen 4, an off-the-shelf smartwatch running the Android Wear OS 2.12, was used to collect data from participants. ...
doi:10.1145/3534582
fatcat:uuregzqenbcyzicnd5vfswp7de
Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications
[chapter]
2017
Handbook of Large-Scale Distributed Computing in Smart Healthcare
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2017 pre-print arXiv:1706.08012v1 fatcat:kio32umzlffq7oibvimo2l5oke
explosion of wearables and internet-connected sensors that surround us to acquire and communicate unprecedented data on symptoms, medication, food intake, and daily-life activities impacting one's health ...
However, IoT-driven healthcare would have to overcome many barriers, such as: 1) There is an increasing demand for data storage on cloud servers where the analysis of the medical big data becomes increasingly ...
Authors would like to thank Alyssa Zisk for proofreading the manuscript. Authors would like to thank Manob Saikia, and Dr. ...
doi:10.1007/978-3-319-58280-1_11
fatcat:l7fh63mq6ve7ziga4b2jvyozw4
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