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Related papers: Social Sensing and Human in the Loop Profiling dur…

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In the context of social well-being and context awareness several eHealth applications have been focused on tracking activities, such as sleep or specific fitness habits, with the purpose of promoting physical well-being with increasing…

Networking and Internet Architecture · Computer Science 2019-06-20 Rute C. Sofia , Saeik Firdose , Luis A. Lopes , Waldir Moreira , Paulo Mendes

In the last decade, Human Activity Recognition (HAR) has become a vibrant research area, especially due to the spread of electronic devices such as smartphones, smartwatches and video cameras present in our daily lives. In addition, the…

Signal Processing · Electrical Eng. & Systems 2020-11-20 Florenc Demrozi , Graziano Pravadelli , Azra Bihorac , Parisa Rashidi

Maintaining social distancing norms between humans has become an indispensable precaution to slow down the transmission of COVID-19. We present a novel method to automatically detect pairs of humans in a crowded scenario who are not…

Robotics · Computer Science 2020-08-25 Adarsh Jagan Sathyamoorthy , Utsav Patel , Yash Ajay Savle , Moumita Paul , Dinesh Manocha

In their efforts to tackle the COVID-19 crisis, decision makers are considering the development and use of smartphone applications for contact tracing. Even though these applications differ in technology and methods, there is an increasing…

Computers and Society · Computer Science 2020-05-19 Ricardo Vinuesa , Andreas Theodorou , Manuela Battaglini , Virginia Dignum

The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing…

During the COVID-19 pandemic, policy makers at the Greater London Authority, the regional governance body of London, UK, are reliant upon prompt and accurate data sources. Large well-defined heterogeneous compositions of activity throughout…

Computers and Society · Computer Science 2022-08-16 James Walsh , Oluwafunmilola Kesa , Andrew Wang , Mihai Ilas , Patrick O'Hara , Oscar Giles , Neil Dhir , Mark Girolami , Theodoros Damoulas

Advances in commercial wearable devices are increasingly facilitating the collection and analysis of everyday physiological data. This paper discusses the theoretical and practical aspects of using such ambulatory devices for the detection…

Applications · Statistics 2019-10-15 Amit Birenboim , Martin Dijst , Floortje Scheepers , Maartje Poelman , Marco Helbich

With the global population ageing, it is crucial to enable individuals to live independently and safely in their homes. Using ubiquitous sensors such as Passive InfraRed sensors (PIR) and door sensors is drawing increasing interest for…

Machine Learning · Computer Science 2026-01-21 Marina Vicini , Martin Rudorfer , Zhuangzhuang Dai , Luis J. Manso

The changing nature of the COVID-19 pandemic has highlighted the importance of comprehensively considering its impacts and considering changes over time. Most COVID-19 related research addresses narrowly focused research questions and is…

The SARS-CoV-2 (Covid-19) pandemic has caused significant strain on public health institutions around the world. Contact tracing is an essential tool to change the course of the Covid-19 pandemic. Manual contact tracing of Covid-19 cases…

Indoor human monitoring systems leverage a wide range of sensors, including cameras, radio devices, and inertial measurement units, to collect extensive data from users and the environment. These sensors contribute diverse data modalities,…

Digital contact tracing has emerged as a viable tool supplementing manual contact tracing. To date, more than 100 contact tracing applications have been published to slow down the spread of highly contagious Covid-19. Despite subtle…

Cryptography and Security · Computer Science 2021-08-05 Pai Chet Ng , Petros Spachos , Stefano Gregori , Konstantinos Plataniotis

Implementing a lockdown for disease mitigation is a balancing act: Non-pharmaceutical interventions can reduce disease transmission significantly, but interventions also have considerable societal costs. Therefore, decision-makers need near…

Data Analysis, Statistics and Probability · Physics 2023-02-01 Andreas Koher , Frederik Jørgensen , Michael Bang Petersen , Sune Lehmann

The recent development of smartphone and wearable sensor technologies enable general public to carry self-tracking tasks more easily. Much work has been devoted to life data collection and visualisation to help people with better…

Computers and Society · Computer Science 2016-10-04 Li Guo

Human Activity Recognition (HAR) is considered a valuable research topic in the last few decades. Different types of machine learning models are used for this purpose, and this is a part of analyzing human behavior through machines. It is…

Machine Learning · Computer Science 2021-03-31 Jakaria Rabbi , Md. Tahmid Hasan Fuad , Md. Abdul Awal

As mobile technologies become ever more sensor-rich, portable, and ubiquitous, data captured by smart devices are lending rich insights into users' daily lives with unprecedented comprehensiveness, unobtrusiveness, and ecological validity.…

At the end of 2019, the latest novel coronavirus Sars-CoV-2 emerged as a significant acute respiratory disease that has become a global pandemic. Countries like Brazil have had difficulty in dealing with the virus due to the high…

Machine Learning · Computer Science 2022-01-04 Sara Malvar , Julio Romano Meneghini

Coronavirus has been spreading around the world since the end of 2019. The virus can cause acute respiratory syndrome, which can be lethal, and is easily transmitted between hosts. Most states have issued state-at-home executive orders,…

Computer Vision and Pattern Recognition · Computer Science 2020-11-17 Peng Sun , Gabriel Draughon , Jerome Lynch

As the number of smart devices that surround us increases, so do the opportunities to create smart socially-aware systems. In this context, mobile devices can be used to collect data about students and to better understand how their…

Human-Computer Interaction · Computer Science 2024-10-28 J. Fernandes , J. Sá Silva , A. Rodrigues , S. Sinche , F. Boavida

We examine the implementation of social robots in real-world settings during the COVID-19 pandemic. In particular, we analyze the areas in which social robots are being adopted, the roles and tasks being fulfilled, and the robot models…

Computers and Society · Computer Science 2022-05-31 Laura Aymerich-Franch , Iliana Ferrer