Mikio Obuchi,Jeremy F Huckins,Weichen Wang et al.
Mikio Obuchi et al.
Brain circuit functioning and connectivity between specific regions allow us to learn, remember, recognize and think as humans. In this paper, we ask the question if mobile sensing from phones can predict brain functional connectivity. We s...
LASense: Pushing the Limits of Fine-grained Activity Sensing Using Acoustic Signals [0.03%]
基于声信号的细粒度活动感知系统 LASense
L I Dong,Jialin Liu,Sunghoon Ivan Lee et al.
L I Dong et al.
Acoustic signals have been widely adopted in sensing fine-grained human activities, including respiration monitoring, finger tracking, eye blink detection, etc. One major challenge for acoustic sensing is the extremely limited sensing range...
Varun Mishra,Sougata Sen,Grace Chen et al.
Varun Mishra et al.
Recent advances in wearable sensor technologies have led to a variety of approaches for detecting physiological stress. Even with over a decade of research in the domain, there still exist many significant challenges, including a near-total...
Florian Künzler,Varun Mishra,Jan-Niklas Kramer et al.
Florian Künzler et al.
Recent advancements in sensing techniques for mHealth applications have led to successful development and deployments of several mHealth intervention designs, including Just-In-Time Adaptive Interventions (JITAI). JITAIs show great potentia...
FluSense: A Contactless Syndromic Surveillance Platform for Influenza-Like Illness in Hospital Waiting Areas [0.03%]
FluSense：医院候诊室流感样疾病的无接触 syndrome 监测平台
Forsad Al Hossain,Andrew A Lover,George A Corey et al.
Forsad Al Hossain et al.
We developed a contactless syndromic surveillance platform FluSense that aims to expand the current paradigm of influenza-like illness (ILI) surveillance by capturing crowd-level bio-clinical signals directly related to physical symptoms of...
Daniel A Adler,Vincent W-S Tseng,Gengmo Qi et al.
Daniel A Adler et al.
Resident physicians (residents) experiencing prolonged workplace stress are at risk of developing mental health symptoms. Creating novel, unobtrusive measures of resilience would provide an accessible approach to evaluate symptom susceptibi...
mTeeth: Identifying Brushing Teeth Surfaces Using Wrist-Worn Inertial Sensors [0.03%]
基于手腕穿戴式惯性传感器的刷牙表面识别方法研究（mTeeth）
Sayma Akther,Nazir Saleheen,Mithun Saha et al.
Sayma Akther et al.
Ensuring that all the teeth surfaces are adequately covered during daily brushing can reduce the risk of several oral diseases. In this paper, we propose the mTeeth model to detect teeth surfaces being brushed with a manual toothbrush in th...
OpiTrack: A Wearable-based Clinical Opioid Use Tracker with Temporal Convolutional Attention Networks [0.03%]
基于可穿戴设备的临床阿片类药使用跟踪器OpiTrack及时间卷积注意力网络
Bhanu Teja Gullapalli,Stephanie Carreiro,Brittany P Chapman et al.
Bhanu Teja Gullapalli et al.
Opioid use disorder is a medical condition with major social and economic consequences. While ubiquitous physiological sensing technologies have been widely adopted and extensively used to monitor day-to-day activities and deliver targeted ...
When Do Drivers Interact with In-Vehicle Well-being Interventions? An Exploratory Analysis of a Longitudinal Study on Public Roads [0.03%]
车载保健干预措施在什么情况下能与驾驶员互动？基于公共道路的纵向研究的探索性分析
Kevin Koch,Varun Mishra,Shu Liu et al.
Kevin Koch et al.
Recent developments of novel in-vehicle interventions show the potential to transform the otherwise routine and mundane task of commuting into opportunities to improve the drivers' health and well-being. Prior research has explored the effe...
Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors [0.03%]
基于智能手机传感器检测成年人饮酒行为
Sangwon Bae,Denzil Ferreira,Brian Suffoletto et al.
Sangwon Bae et al.
Alcohol use in young adults is common, with high rates of morbidity and mortality largely due to periodic, heavy drinking episodes (HDEs). Behavioral interventions delivered through electronic communication modalities (e.g., text messaging)...