A Smartphone-Based Personalized Activity Recommender System for Patients with Depression
Journal Title: EAI Endorsed Transactions on Cognitive Communications - Year 2016, Vol 2, Issue 9
Abstract
Depression is a common mental illness worldwide. Apart of pharmacological treatment and psychotherapy, self-management of negative emotions is of paramount importance, because relapse of depression often results from an inadequate response to negative emotions. The purpose of this study is to design and implement a personal recommender system, for emotion regulation. It assists users to be aware of negative emotions and guides them to deal with it with behavioral activation. It analyzes the smartphone usage patterns to predict the emergence of negative emotions, while integrating data obtained from context awareness and psychiatrists' recommendations to suggest relevant emotion-regulating activities. In this pilot study, we recruited 15 normal subjects to use our recommender application for 14 days. Our system has successfully recommended activities matched to subjects' intent, and their negative emotions attenuated substantially after engaging in the activities. The presented system has a potential to provide personalized and pervasive mental health services for patients with depression.
Authors and Affiliations
Galen Chin-Lun Hung, Pei-Ching Yang, Chen-Yi Wang, Jung-Hsien Chiang
Keywords
Related Articles
- EP ID EP45658
- DOI http://dx.doi.org/10.4108/eai.14-10-2015.2261655
- Views 294
- Downloads 0
The Influence of Noise Uncertainty and SNR Wall on the Performance of Hybrid Sensing Method
The paper discusses the hybrid sensing method and presents the hybrid detector (HD) which improves the sensing performance. The proposed HD takes advantage of the energy detection (ED) and a method based on the Covarianc...
A Hardware Prototype of a Flexible Spectrum Sensing Node for Smart Sensing Networks
In this paper we present a prototype for a spectrum sensing node for a cognitive radio sensing network. Our prototype consists of a custom down-conversion front-end with an RF input frequency range from 300 MHz to 3 GHz...
Robust and Adaptive Block Tracking Method Based on Particle Filter
In the field of video analysis and processing, object tracking is attracting more and more attention especially in traffic management, digital surveillance and so on. However problems such as objects’ abrupt motion, occl...
Energy-Based Cooperative Spectrum Sensing of SC-FDMA Systems
In this paper, we propose a frequency-hopping M-ary frequency-shift keying spectrum sensing network (FH/MFSK SSN) for identifying the on/off states of the users supported by a single-carrier frequency-division multiple a...
Classification of Steps on Road Surface Using Acceleration Signals
In order to reduce a road monitoring cost, we propose a system to monitor extensively road condition by cyclists with a smartphone. In this paper, we propose two methods towards road monitoring. First is to classify road...