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
Spectrum Sensing For Cognitive Radios Through Differential Entropy
In this work, we present a novel Goodness-of-Fit Test driven by differential entropy for spectrum sensing in cognitive radios, under three different noise models – Gaussian, Laplacian and mixture of Gaussians. We analyze...
Consensus-based Spectrum Sensing in Cognitive Radio Networks
In this work, we analyze a distributed cooperative spectrum sensing scheme where N secondary users (SUs) of a cognitive wireless net-work make a joint decision on the primary user (PU) presence based on an agreement reac...
A Method for Detecting Damage of Traffic Marks by Half Celestial Camera Attached to Cars
Roads are becoming deterioration in everywhere. In some places, traffic marks painted on roads are damaged thus needed to be updated. Municipalities must manage road condition and traffic marks (road painting). It is the...
On the Performance Analysis and Evaluation of Scaled Largest Eigenvalue in Spectrum Sensing: A Simple Form Approach
Scaled Largest Eigenvalue (SLE) detector stands out as the optimal single-primary-user detector in uncertain noisy environments. In this paper, we consider a multi-antenna cognitive radio system in which we aim at detect...
Scenarios and business models for mobile network operators utilizing the hybrid use concept of the UHF broadcasting spectrum
This paper explores and presents scenarios and business models for mobile network operators (MNOs) in the novel hybrid use spectrum sharing concept of the Ultra High Frequency broadcasting spectrum (470-790 MHz) used for...