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Wrist sensors — An application to acquire sensory data from Android Wear® smartwatches for connected health

Vassilis Kilintzis, Christos Maramis, Nicos Maglaveras
2017 2017 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI)  
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

Aida Kamišalić, Iztok Fister, Muhamed Turkanović, Sašo Karakatič
2018 Sensors  
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

Sakorn Mekruksavanich, Anuchit Jitpattanakul
2021 Electronics  
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

Debanjan Borthakur, Andrew Peltier, Harishchandra Dubey, Joshua V. Gyllinsky, Kunal Mankodiya
2018 Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies  
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]

Debanjan Borthakur, Andrew Peltier, Harishchandra Dubey, Joshua Gyllinsky, Kunal Mankodiya
2018 arXiv   pre-print
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

Davide Ginelli, Daniela Micucci, Marco Mobilio, Paolo Napoletano
2018 Applied Sciences  
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

Alessandro Ortis, Pasquale Caponnetto, Riccardo Polosa, Salvatore Urso, Sebastiano Battiato
2020 International Journal of Environmental Research and Public Health  
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

Vini Vijayan, James Connolly, Joan Condell, Nigel McKelvey, Philip Gardiner
2021 Sensors  
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

Shun Ishii, Anna Yokokubo, Mika Luimula, Guillaume Lopez
2020 Sensors  
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

Harishchandra Dubey, Jon C. Goldberg, Mohammadreza Abtahi, Leslie Mahler, Kunal Mankodiya
2015 Proceedings of the conference on Wireless Health - WH '15  
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

Emilio Sansano-Sansano, Óscar Belmonte-Fernández, Raúl Montoliu, Arturo Gascó-Compte, Antonio Caballer-Miedes
2020 Mobile Information Systems  
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]

Harishchandra Dubey, Jon C. Goldberg, Mohammadreza Abtahi, Leslie Mahler, Kunal Mankodiya
2016 arXiv   pre-print
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

Toshiya Arakawa
2021 Sensors  
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

Sarnab Bhattacharya, Rebecca Adaimi, Edison Thomaz
2022 Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies  
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]

Harishchandra Dubey, Admir Monteiro, Nicholas Constant, Mohammadreza Abtahi, Debanjan Borthakur, Leslie Mahler, Yan Sun, Qing Yang, Umer Akbar, Kunal Mankodiya
2017 Handbook of Large-Scale Distributed Computing in Smart Healthcare  
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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