‘You can’t really control life’: dis/assembling self-knowledge with self-tracking technologies
Author(s): Harley Bergroth Abstract: This article investigates everyday self-tracking as a practice of self-related knowledge production. Self-tracking activities are commonly narrated and imagined as productive of self-related knowledge and insight into one’s life...
Deep Learning: An Introduction for Applied Mathematicians
Author: Higham, Catherine F. Higham, Desmond J. Abstract: Multilayered artificial neural networks are becoming a pervasive tool in a host of application fields. At the heart of this deep learning revolution are familiar concepts from applied and computational...
OneNote Meal: A Photo-Based Diary Study for Reflective Meal Tracking
Author(s): Johnna Blair, B.S Yuhan Luo, M.S Ning F. Ma, B.A Sooyeon Lee, B.S Eun Kyoung Choe, Ph.D Abstract: When a self-monitoring tool is used to enhance behavior awareness, the tool should afford reflection by design. This work examines the “valence of meal” (i.e.,...
WearableDL: Wearable Internet-of-Things and Deep Learning for Big Data Analytics—Concept, Literature, and Future
Author(s): Dargazany, ArasStegagno, PaoloMankodiya, Kunal Abstract: This work introduces Wearable deep learning (WearableDL) that is a unifying conceptual architecture inspired by the human nervous system, offering the convergence of deep learning (DL),...
Phenotyping Endometriosis through Mixed Membership Models of Self-Tracking Data
Author(s): Urteaga, IñigoMcKillop, MollieLipsky-Gorman, SharonElhadad, Noémie Abstract: We investigate the use of self-tracking data and unsupervised mixed-membership models to phenotype endometriosis. Endometriosis is a systemic, chronic condition of women in...
geomstats: a Python Package for Riemannian Geometry in Machine Learning
Author(s): Miolane, NinaMathe, JohanDonnat, ClaireJorda, MikaelPennec, Xavier Abstract: We introduce geomstats, a python package that performs computations on manifolds such as hyperspheres, hyperbolic spaces, spaces of symmetric positive definite matrices and Lie...
How Mobile App Design Impacts User Responses to Mixed Self-Tracking Outcomes: Randomized Online Experiment to Explore the Role of Spatial Distance for Hedonic Editing
Author(s): Monika Imschloss Jana Lorenz Abstract: Background: Goal setting is among the most common behavioral change techniques employed in contemporary self-tracking apps. For these techniques to be effective, it is relevant to understand how the visual presentation...
Personal Informatics in Interpersonal Contexts: Towards the Design of Technology that Supports the Social Ecologies of Long-Term Mental Health Management
Author(s): Elizabeth L. Murnane Tara G. Walker Beck Tench Stephen Voida Jaime Snyder Abstract: Personal informatics systems for supporting health largely grew out of a "self"-centric orientation: self-tracking, self-reflection, self-knowledge, self-experimentation,...
Recurrent Neural Networks
Author(s): MacKay, MatthewVicol, PaulBa, JimmyGrosse, Roger Abstract: Recurrent neural networks (RNNs) provide state-of-the-art performance in processing sequential data but are memory intensive to train, limiting the flexibility of RNN models which can be trained....
Assessing the Privacy of mHealth Apps for Self-Tracking: Heuristic Evaluation Approach
Author(s): Hutton, Luke Price, Blaine A.Kelly, Ryan McCormick, Ciaran Bandara, AroshaHatzakis, TallyMeadows, Maureen Nuseibeh, Bashar Abstract: Background: The recent proliferation of self-tracking technologies has allowed individuals to generate significant...