ABR: Collaborative research: Smart earpiece for supporting healthy eating behaviors

ABR：合作研究：支持健康饮食行为的智能耳机

• 批准号: 1835983
• 负责人: Ryan Halter
• 金额: $ 97.61万
• 依托单位: Dartmouth College
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835983&HistoricalAwards=false
• 关键词: ABR; Collaborative; research; Smart; earpiece

Obesity is one of the most pressing health challenges faced by our country, and has been the target of much attention in the mobile health (mHealth) community. While the science of obesity indicates that diet is a major factor in healthy weight management, scientists are still not able to effectively, quickly and easily measure eating behavior. This project's goal is to develop a digital earpiece comfortable enough to wear (on or near the ear) that can sense and detect eating behavior. The project's long-term vision is to enable health researchers to better understand eating-related behaviors and, subsequently, to support the development of effective interventions that promote healthy diet and behavior.Ultimately, a better understanding of eating-related behaviors, and better design of effective interventions regarding eating behavior, will have profound impact on personal and public health as well as the national economy. The project's hardware and software prototypes will be shared widely in the research community to enable experimentation around the sensing and interaction opportunities possible in an earpiece device. Furthermore, the project directly involves undergraduate and graduate students in interdisciplinary research, and outreach to middle-school students, expanding the supply of scientists educated in this important emerging topic.The project will build a prototype wireless earpiece, with low-power (microwatt-scale) electronics and software sufficient to allow for the battery to last a full waking day; to develop efficient algorithms for detecting and distinguishing health-related behaviors; and to develop easy and effective means for the wearer to interact with the earpiece and its applications.The team expects to answer scientific questions important to achieving the above goals. Specifically, they seek to advance scientific knowledge through the design and development of a wireless earpiece capable of sensing behavior and interacting with its wearer; develop novel low-power analog electronics and distributed software algorithms for inferring relevant behaviors from sensor data; develop novel interaction modalities involving bone-conduction audio between the earpiece and its wearer, complemented by tactile interfaces on the earpiece, on the skin, or on auxiliary devices like a wristband or smartphone; and validate these approaches through user studies and experiments inside and outside the lab.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

肥胖是我国面临的最紧迫的健康挑战之一，也是移动的健康（mHealth）社区备受关注的目标。虽然肥胖科学表明饮食是健康体重管理的主要因素，但科学家仍然无法有效，快速和轻松地测量饮食行为。该项目的目标是开发一种足够舒适的数字耳机（戴在耳朵上或耳朵附近），可以感知和检测饮食行为。该项目的长期目标是使健康研究人员更好地了解与饮食相关的行为，并随后支持开发促进健康饮食和行为的有效干预措施。最终，更好地了解与饮食相关的行为，并更好地设计与饮食行为相关的有效干预措施，将对个人和公共健康以及国民经济产生深远影响。该项目的硬件和软件原型将在研究界广泛共享，以实现耳机设备中可能的传感和交互机会的实验。此外，该项目直接涉及本科生和研究生的跨学科研究，并推广到中学生，扩大科学家在这一重要的新兴课题的教育供应。（微瓦级）电子设备和软件，足以让电池持续一整天的清醒;开发有效的算法来检测和区分与健康相关的行为;并为佩戴者开发简单有效的方法来与耳机及其应用程序进行交互。该团队希望回答实现上述目标的重要科学问题。具体来说，他们寻求通过设计和开发能够感知行为并与佩戴者互动的无线耳机来推进科学知识;开发新颖的低功耗模拟电子器件和分布式软件算法，用于从传感器数据推断相关行为;开发新的交互方式，包括耳机和佩戴者之间的骨传导音频，并辅以耳机上的触觉界面，该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Measuring children’s eating behavior with a wearable device

使用可穿戴设备测量儿童的饮食行为

• DOI: 10.1109/ichi48887.2020.9374304
• 发表时间: 2020
• 期刊: 2020 IEEE International Conference on Healthcare Informatics (ICHI
• 作者: Bi, Shengjie;Lu, Yiyang;Tobias, Nicole;Ryan, Ella;Masterson, Travis;Sen, Sougata;Halter, Ryan;Sorber, Jacob;Gilbert-Diamond, Diane;Kotz, David
• 通讯作者: Kotz, David

Fabriccio: Touchless Gestural Input on Interactive Fabrics

• DOI: 10.1145/3313831.3376681
• 发表时间: 2020-04
• 期刊: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
• 作者: Te-Yen Wu;Shutong Qi;Junchi Chen;MuJie Shang;Jun Gong;T. Seyed;Xing-Dong Yang

Indutivo: Contact-Based, Object-Driven Interactions with Inductive Sensing

Indutivo：基于接触、对象驱动的感应式交互

• DOI: 10.1145/3242587.3242662
• 发表时间: 2018
• 期刊: Proceedings of the 31st Annual ACM Symposium on User Interface Software and Technology
• 作者: Gong, Jun;Yang, Xin;Seyed, Teddy;Davis, Josh Urban;Yang, Xing-Dong
• 通讯作者: Yang, Xing-Dong

Analog Gated Recurrent Unit Neural Network for Detecting Chewing Events

• DOI: 10.1109/tbcas.2022.3218889
• 发表时间: 2022-12-01
• 期刊: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS
• 影响因子: 5.1
• 作者: Odame，Kofi;Nyamukuru，Maria;Kotz，David
• 通讯作者: Kotz，David