scholarly journals Location Tracking Using Bluetooth iTag

2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Joseph Dedy Irawan ◽  
Yudi Limpraptono ◽  
Emmalia Adriantantri
Keyword(s):  
Location Tracking

A Behavioral Paradigm to Study Rats' Dual-task Performance under Head-direction and Body-location Tracking

2016 ◽  
Vol 136 (9) ◽  
pp. 1324-1334
Author(s):  
Kohei Matsuo ◽  
Taro Kaiju ◽  
Tomoaki Nakazono ◽  
Kei Watanabe ◽  
Takafumi Suzuki
Keyword(s):  
Task Performance ◽  
Dual Task ◽  
Location Tracking ◽  
Head Direction ◽  
Dual Task Performance ◽  
Behavioral Paradigm ◽  
Body Location

A Case Study of Non-Adoption: The Values of Location Tracking in the Family

2012 ◽  
Author(s):  
Asimina Vasalou ◽  
Anne-Marie Oostveen ◽  
Adam N. Joinson
Keyword(s):  
Location Tracking ◽  
The Family

Scuba Diver Location Tracking System

2019 ◽  
Author(s):  
Sameer Mohideen ◽  
Arumugam Ganesan
Keyword(s):  
Tracking System ◽  
Location Tracking ◽  
Scuba Diver

Device-independent cellular-based indoor location tracking using deep learning

2021 ◽  
pp. 101420
Author(s):  
Hamada Rizk ◽  
Moustafa Abbas ◽  
Moustafa Youssef
Keyword(s):  
Deep Learning ◽  
Location Tracking ◽  
Indoor Location

scholarly journals Recent Development of Non-Contact Multi-Target Vital Sign Detection and Location Tracking Based on Metamaterial Leaky Wave Antennas

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3619
Author(s):  
Yichao Yuan ◽  
Chung-Tse Michael Wu
Keyword(s):  
Vital Sign ◽  
Complex Structure ◽  
Health Condition ◽  
Phase Shifters ◽  
Location Tracking ◽  
Radar Sensor ◽  
Leaky Wave ◽  
Multiple Targets ◽  
Microwave Radar ◽  
Sign Detection

Microwave radar sensors have been developed for non-contact monitoring of the health condition and location of targets, which will cause minimal discomfort and eliminate sanitation issues, especially in a pandemic situation. To this end, several radar sensor architectures and algorithms have been proposed to detect multiple targets at different locations. Traditionally, beamforming techniques incorporating phase shifters or mechanical rotors are utilized, which is relatively complex and costly. On the other hand, metamaterial (MTM) leaky wave antennas (LWAs) have a unique property of launching waves of different spectral components in different directions. This feature can be utilized to detect multiple targets at different locations to obtain their healthcare and location information accurately, without complex structure and high cost. To this end, this paper reviews the recent development of MTM LWA-based radar sensor architectures for vital sign detection and location tracking. The experimental results demonstrate the effectiveness of MTM vital sign radar compared with different radar sensor architectures.

scholarly journals A first look at Android applications in Google Play related to COVID-19

2021 ◽  
Vol 26 (4) ◽  
Author(s):  
Jordan Samhi ◽  
Kevin Allix ◽  
Tegawendé F. Bissyandé ◽  
Jacques Klein
Keyword(s):  
Mobile Apps ◽  
Contact Tracing ◽  
Location Tracking ◽  
Response Effort ◽  
Sensitive Data ◽  
Android Apps ◽  
Digital World ◽  
Public Health Organizations ◽  
Android Applications ◽  
Google Play

AbstractDue to the convenience of access-on-demand to information and business solutions, mobile apps have become an important asset in the digital world. In the context of the COVID-19 pandemic, app developers have joined the response effort in various ways by releasing apps that target different user bases (e.g., all citizens or journalists), offer different services (e.g., location tracking or diagnostic-aid), provide generic or specialized information, etc. While many apps have raised some concerns by spreading misinformation or even malware, the literature does not yet provide a clear landscape of the different apps that were developed. In this study, we focus on the Android ecosystem and investigate Covid-related Android apps. In a best-effort scenario, we attempt to systematically identify all relevant apps and study their characteristics with the objective to provide a first taxonomy of Covid-related apps, broadening the relevance beyond the implementation of contact tracing. Overall, our study yields a number of empirical insights that contribute to enlarge the knowledge on Covid-related apps: (1) Developer communities contributed rapidly to the COVID-19, with dedicated apps released as early as January 2020; (2) Covid-related apps deliver digital tools to users (e.g., health diaries), serve to broadcast information to users (e.g., spread statistics), and collect data from users (e.g., for tracing); (3) Covid-related apps are less complex than standard apps; (4) they generally do not seem to leak sensitive data; (5) in the majority of cases, Covid-related apps are released by entities with past experience on the market, mostly official government entities or public health organizations.

Transitioning a randomized controlled trial to a digital registry – experience from the TAILOR-PCI digital follow-up study on onboarding, engagement and geofencing consent rate

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
R Avram ◽  
D So ◽  
E Iturriaga ◽  
J Byrne ◽  
R.J Lennon ◽  
...  
Keyword(s):  
Clinical Trial ◽  
The United States ◽  
Mobile App ◽  
Funding Source ◽  
Location Tracking ◽  
Main Trial ◽  
Phone Calls ◽  
Effective Manner ◽  
Research Platform

Abstract Background/Introduction TAILOR-PCI is the largest cardiovascular genotype-based randomized trial (NCT#01742117) investigating whether genotype-guided selection of oral P2Y12 inhibitor therapy improves ischemic outcomes after percutaneous coronary intervention (PCI). The TAILOR-PCI Digital Sub-Study tests the feasibility of extending original follow-up of 1 year to 2 years using state-of-the-art digital solutions. Deep phenotyping acquired during a clinical trial can be leveraged by extending follow-up in an efficient and cost-effective manner using digital technology. Purpose Our objective is to describe onboarding and engagement of participants initially recruited in a large, pragmatic, international, multi-center clinical trial to a digital registry. Methods TAILOR-PCI participants, within 23 months of their index PCI, were invited by letters containing a URL to the Digital Sub-Study website (http://tailorpci.eurekaplatform.org). These invitations were followed by phone calls, if no response to the letter, to determine reason for non-participation. A NIH-funded direct-to-participant digital research platform (the Eureka Research Platform) was used to onboard, consent and enroll participants for the digital follow-up. Participants were asked to answer health-related surveys at fixed intervals using the Eureka mobile app and desktop platform. To capture hospitalizations, participants could enable geofencing to allow background location tracking, which triggered surveys if a hospitalization was detected. Result(s) Letters were mailed to 893 of 929 eligible participants across 22 sites in the United States and Canada leading to 226 homepage visits and 118 registrations. There were 107 consents (12.0% of invited; mean age: 66.4±9.0; 19 females [18%]): 47 (44%) participants consented after the letter, 36 (34%) consented after the 1st call and 24 (22%) consented after a 2nd call. Among those who consented, 100 were eligible (7 did not have a smartphone) 81 downloaded the study mobile app and 73 agreed for geofencing (Figure 1). Among the 722 invited participants who were surveyed, 354 declined participation: due to lack of time (146; 20.2%), lack of smartphone (125; 17.3%), difficulty understanding (41; 5.7%), concern about using smartphone (34; 4.7%), concern of data privacy (14; 1.9%), concerns of location tracking (6; 0.8%) and other reasons (57; 7.9%). Conclusion Extended follow-up of a clinical trial using a digital platform is feasible but uptake in this study population was limited largely due to lack of time or a smartphone among participants. Based on data from other digital studies, uptake may also have been limited since digital follow-up consent was not incorporated at the time of consent for the main trial. Figure 1. Onboarding of the digital substudy Funding Acknowledgement Type of funding source: Public grant(s) – National budget only. Main funding source(s): National Institute of Health (NIH), National Heart, Lung, and Blood Institute (NHLBI)

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