Name
Abstract | ||
|---|---|---|
With the pace of modern life quickening and increasing work stress, people don't have enough time to focus on their health and communicate with family members. The loneliness and chronic diseases (e.g., obesity, depression, diabetes, and dementia) have become more prevalent. In the paper, we propose SmartBuddy, a novel integrated mobile sensing and detecting system for monitoring people's family activities, which can motivate the user to do proper physical exercise and establish good relationships with family members for maintaining their physical and mental health. Specifically, SmartBuddy firstly uses smartphones and Apple Watches built-in sensors to obtain sensing data, such as the striding frequency and heart rate of the users, the sound of environment, etc. Secondly, SmartBuddy can accurately detect family activities including occurrence/duration of meal, cooking, TV viewing, conversations, in an unobtrusive manner based on sensed data. Thirdly, SmartBuddy will propose a personal plan to suggest the user doing some exercise and making continuous progress in the process of communicating with family members. We have fully implemented SmartBuddy on the Android platform and perform testbed experiments. The experimental results demonstrate that SmartBuddy is easy to use, accurate, and appropriate for family activities with the accuracy of 80% and the user satisfaction degree of 84.5%. |
Year | Venue | Keywords |
|---|---|---|
2017 | IEEE Global Communications Conference | Mobile Sensing,Family Activities,Exercise,Feedback,User Satisfaction Degree |
Field | DocType | ISSN |
Family activities,Mobile sensing,Pace,Android (operating system),Computer science,Quickening,Testbed,Real-time computing,Human–computer interaction,Mental health,Loneliness | Conference | 2334-0983 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fei Gu | 1 | 20 | 3.93 |
| Jianwei Niu | 2 | 1643 | 141.54 |
| Zhenxue He | 3 | 11 | 5.88 |
| Xin Jin | 4 | 333 | 62.83 |
| JOEL J. P. C. RODRIGUES | 5 | 3484 | 341.72 |