Is More Always Better?: Discovering Incentivized mHealth Intervention Engagement Related to Health Behavior Trends [0.03%]
更多总是更好吗？：发现与健康行为趋势相关的激励移动医疗干预参与度
Nabil Alshurafa,Jayalakshmi Jain,Rawan Alharbi et al.
Nabil Alshurafa et al.
Behavioral medicine is devoting increasing attention to the topic of participant engagement and its role in effective mobile health (mHealth) behavioral interventions. Several definitions of the term "engagement" have been proposed and disc...
I Can't Be Myself: Effects of Wearable Cameras on the Capture of Authentic Behavior in the Wild [0.03%]
以诚相见：可穿戴相机对野外真实行为记录的影响研究
Rawan Alharbi,Tammy Stump,Nilofar Vafaie et al.
Rawan Alharbi et al.
Wearable sensors can provide reliable, automated measures of health behaviors in free-living populations. However, validation of these measures is impossible without observable confirmation of behaviors. Participants have expressed discomfo...
Variability in Reactions to Instructional Guidance during Smartphone-Based Assisted Navigation of Blind Users [0.03%]
盲人用户在基于智能手机的辅助导航过程中对指导反应的变异性研究
Eshed Ohn-Bar,João Guerreiro,Kris Kitani et al.
Eshed Ohn-Bar et al.
'Turn slightly to the left' the navigational system announces, with the aim of directing a blind user to merge into a corridor. Yet, due to long reaction time, the user turns too late and proceeds into the wrong hallway. Observations of suc...
Automated Detection of Infant Holding Using Wearable Sensing: Implications for Developmental Science And Intervention [0.03%]
基于可穿戴传感的婴儿怀抱自动检测：对发展科学和干预的意义
Xuewen Yao,Thomas Plötz,McKensey Johnson et al.
Xuewen Yao et al.
Physical contact is critical for children's physical and emotional growth and well-being. Previous studies of physical contact are limited to relatively short periods of direct observation and self-report methods. These methods limit resear...
A Weakly Supervised Learning Framework for Detecting Social Anxiety and Depression [0.03%]
一种用于检测社交焦虑和抑郁的弱监督学习框架
Asif Salekin,Jeremy W Eberle,Jeffrey J Glenn et al.
Asif Salekin et al.
Although social anxiety and depression are common, they are often underdiagnosed and undertreated, in part due to difficulties identifying and accessing individuals in need of services. Current assessments rely on client self-report and cli...
Identifying and Planning for Individualized Change: Patient-Provider Collaboration Using Lightweight Food Diaries in Healthy Eating and Irritable Bowel Syndrome [0.03%]
个体化改变的识别与规划：利用轻量级食物日记进行患者-提供者合作以促进健康饮食和肠易激综合症的管理
Chia-Fang Chung,Qiaosi Wang,Jessica Schroeder et al.
Chia-Fang Chung et al.
Identifying and planning strategies that support a healthy lifestyle or manage a chronic disease often require patient-provider collaboration. For example, people with healthy eating goals often share everyday food, exercise, or sleep data ...
Just-in-Time but Not Too Much: Determining Treatment Timing in Mobile Health [0.03%]
juste-n-temps但不过度：确定移动健康中的治疗时机
Peng Liao,Walter Dempsey,Hillol Sarker et al.
Peng Liao et al.
There is a growing scientific interest in the use and development of just-in-time adaptive interventions in mobile health. These mobile interventions typically involve treatments, such as reminders, activity suggestions and motivational mes...
SeismoWatch: Wearable Cuffless Blood Pressure Monitoring Using Pulse Transit Time [0.03%]
基于脉搏波传输时间的手腕式无袖带血压监测系统-SeismoWatch
Andrew M Carek,Jordan Conant,Anirudh Joshi et al.
Andrew M Carek et al.
The current norm for measuring blood pressure (BP) at home is using an automated BP cuff based on oscillometry. Despite providing a viable and familiar method of tracking BP at home, oscillometric devices can be both cumbersome and inaccura...
rConverse: Moment by Moment Conversation Detection Using a Mobile Respiration Sensor [0.03%]
基于移动呼吸传感器的瞬间对话检测方法
Rummana Bari,Roy J Adams,Mahbubur Rahman et al.
Rummana Bari et al.
Monitoring of in-person conversations has largely been done using acoustic sensors. In this paper, we propose a new method to detect moment-by-moment conversation episodes by analyzing breathing patterns captured by a mobile respiration sen...
Xinyu Li,Yanyi Zhang,Jianyu Zhang et al.
Xinyu Li et al.
Process modeling and understanding are fundamental for advanced human-computer interfaces and automation systems. Most recent research has focused on activity recognition, but little has been done on sensor-based detection of process progre...