Samaneh Aminikhanghahi,Diane J Cook
Samaneh Aminikhanghahi
Segmenting behavior-based sensor data and recognizing the activity that the data represents are vital steps in all applications of human activity learning such as health monitoring, security, and intervention. In this paper, we enhance acti...
Transfer learning for the efficient detection of COVID-19 from smartphone audio data [0.03%]
基于智能手机音频数据的高效检测COVID-19的声音传输学习方法研究
Mattia Giovanni Campana,Franca Delmastro,Elena Pagani
Mattia Giovanni Campana
Disease detection from smartphone data represents an open research challenge in mobile health (m-health) systems. COVID-19 and its respiratory symptoms are an important case study in this area and their early detection is a potential real i...
What makes people install a COVID-19 contact-tracing app? Understanding the influence of app design and individual difference on contact-tracing app adoption intention [0.03%]
是什么让人们安装COVID-19接触追踪应用程序？了解应用设计和个体差异对接触追踪应用采用意向的影响
Tianshi Li,Camille Cobb,Jackie Junrui Yang et al.
Tianshi Li et al.
Smartphone-based contact-tracing apps are a promising solution to help scale up the conventional contact-tracing process. However, low adoption rates have become a major issue that prevents these apps from achieving their full potential. In...
Multi-task learning neural networks for breath sound detection and classification in pervasive healthcare [0.03%]
面向普适医疗的呼吸音检测与分类多任务学习神经网络
Dat Tran-Anh,Nam Hoai Vu,Khanh Nguyen-Trong et al.
Dat Tran-Anh et al.
With the emergence of many grave Chronic obstructive pulmonary diseases (COPDs) and the COVID-19 pandemic, there is a need for timely detection of abnormal respiratory sounds, such as deep and heavy breaths. Although numerous efficient perv...
Chiara Boldrini,Aakash Ahmad,Mahdi Fahmideh et al.
Chiara Boldrini et al.
Feature selection for proximity estimation in COVID-19 contact tracing apps based on Bluetooth Low Energy (BLE) [0.03%]
基于蓝牙低功耗的COVID-19接触者追踪应用中的邻近估计特征选择
Pablo G Madoery,Ramiro Detke,Lucas Blanco et al.
Pablo G Madoery et al.
During the COVID-19 pandemic, contact tracing apps based on the Bluetooth Low Energy (BLE) technology found in smartphones have been deployed by multiple countries despite BLE's debatable performance for determining close contacts among use...
Is blockchain for Internet of Medical Things a panacea for COVID-19 pandemic? [0.03%]
区块链能否助力物联网技术应对新冠肺炎疫情？
Xuran Li,Bishenghui Tao,Hong-Ning Dai et al.
Xuran Li et al.
The outbreak of the COVID-19 pandemic has deeply influenced the lifestyle of the general public and the healthcare system of the society. As a promising approach to address the emerging challenges caused by the epidemic of infectious diseas...
A priority-aware lightweight secure sensing model for body area networks with clinical healthcare applications in Internet of Things [0.03%]
面向临床医疗保健应用的物联网中具有优先级感知的轻量安全传感模型研究
Sobhan Esmaeili,Seyed Reza Kamel Tabbakh,Hassan Shakeri
Sobhan Esmaeili
In this study, a priority-aware lightweight secure sensing model for body area networks with clinical healthcare applications in internet of things is proposed. In this model, patients' data is labeled according to the proposed prioritizing...
Sensing social interactions through BLE beacons and commercial mobile devices [0.03%]
通过BLE信标和商用移动设备感知社交互动
Michele Girolami,Fabio Mavilia,Franca Delmastro
Michele Girolami
Wearable sensing devices can provide high-resolution data useful to characterise and identify complex human behaviours. Sensing human social interactions through wearable devices represents one of the emerging field in mobile social sensing...
Bryan Minor,Diane J Cook
Bryan Minor
While activity recognition has been shown to be valuable for pervasive computing applications, less work has focused on techniques for forecasting the future occurrence of activities. We present an activity forecasting method to predict the...