Abstract
Smartphones have become the ultimate ‘personal’ computers with sufficient processing power and storage to perform machine learning tasks. Building on our previous research, this paper investigates an example practical application of this capability, combining it with a smartphone’s on-board sensors to develop a personalised, self-contained machine-learning framework for monitoring mental health. We present a mobile application for Android devices called ‘Mindful’ that incorporates data collection from the phone’s sensors and data sources, pre-processes the data locally and executes data mining on that data to provide pre-emptive feedback to the phone user about their mind state. Rather than as a finished product, this application is presented as a first step to show that from a technological perspective, smartphones are well equipped to perform this type of role. We invite colleagues from the mental health sciences to join us in furthering this work into a smart monitor for mental health.
Original language | English |
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Title of host publication | Data mining |
Subtitle of host publication | 17th Australasian conference, AusDM 2019, proceedings |
Editors | Thuc D. Le, Lin Liu, Kok-Leong Ong, Yanchang Zhao, Warren H. Jin, Sebastien Wong, Graham Williams |
Publisher | Springer |
Pages | 235-246 |
Number of pages | 12 |
Volume | 1127 |
ISBN (Electronic) | 9789811516993 |
ISBN (Print) | 9789811516986 |
DOIs | |
Publication status | Published - 23 Nov 2019 |
Event | 17th Australasian Data Mining Conference (AusDM '19) - InterContinental Adelaide at North Terrace, Adelaide, Australia Duration: 02 Dec 2019 → 05 Dec 2019 https://web.archive.org/web/20191228213133/https://ausdm19.ausdm.org/index.php (Conference website) https://web.archive.org/web/20191231040752/http://nugget.unisa.edu.au/AI2019/program.pdf (Conference program) |
Publication series
Name | Communications in Computer and Information Science |
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Volume | 1127 CCIS |
ISSN (Print) | 1865-0929 |
ISSN (Electronic) | 1865-0937 |
Conference
Conference | 17th Australasian Data Mining Conference (AusDM '19) |
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Country/Territory | Australia |
City | Adelaide |
Period | 02/12/19 → 05/12/19 |
Other | Since AusDM’02 the conference has showcased research in data mining, providing a forum for presenting and discussing the latest research and developments. Built on this tradition, AusDM’19 will facilitate the cross-disciplinary exchange of ideas, experience and potential research directions. Specifically, the conference seeks to showcase: Research Prototypes; Industry Case Studies; Practical Analytics Technology; and Research Student Projects. AusDM’19 will be a meeting place for pushing forward the frontiers of data mining in academia and industry. |
Internet address |
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