[PDF][PDF] Community-Guided Mobile Phone Sensing Systems

ND Lane - 2011 - Citeseer
Smartphones with embedded sensors have become commonplace items carried by millions
of people. Mobile phone sensing is now on the cusp of going mainstream. Two critical …

Can deep learning revolutionize mobile sensing?

ND Lane, P Georgiev - Proceedings of the 16th international workshop …, 2015 - dl.acm.org
Sensor-equipped smartphones and wearables are transforming a variety of mobile apps
ranging from health monitoring to digital assistants. However, reliably inferring user behavior …

[PDF][PDF] Smartphones based social sensing: Adaptive sampling, sensing and computation offloading

KK Rachuri - 2013 - kevincurran.org
In recent years the number of smartphone users has been increasing at an unprecedented
rate. Smartphones are carried by billions of people every day, and are equipped with many …

Mobile sensing at the service of mental well-being: a large-scale longitudinal study

S Servia-Rodríguez, KK Rachuri, C Mascolo… - Proceedings of the 26th …, 2017 - dl.acm.org
Measuring mental well-being with mobile sensing has been an increasingly active research
topic. Pervasiveness of smartphones combined with the convenience of mobile app …

Marfusion: An attention-based multimodal fusion model for human activity recognition in real-world scenarios

Y Zhao, S Guo, Z Chen, Q Shen, Z Meng, H Xu - Applied Sciences, 2022 - mdpi.com
Human Activity Recognition (HAR) plays an important role in the field of ubiquitous
computing, which can benefit various human-centric applications such as smart homes …

HuMAn: Complex activity recognition with multi-modal multi-positional body sensing

P Bharti, D De, S Chellappan… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Current state-of-the-art systems in the literature using wearables are not capable of
distinguishing a large number of fine-grained and/or complex human activities, which may …

Scalable mining of daily behavioral patterns in context sensing life-log data

R Rawassizadeh, E Momeni, P Shetty - arXiv preprint arXiv:1411.4726, 2014 - arxiv.org
Despite the advent of wearable devices and the proliferation of smartphones, there still is no
ideal platform that can continuously sense and precisely collect all available contextual …

GeXSe (Generative Explanatory Sensor System): An Interpretable Deep Generative Model for Human Activity Recognition in Smart Spaces

Y Sun, N Pai, VV Ramesh, M Aldeer, J Ortiz - arXiv preprint arXiv …, 2023 - arxiv.org
We introduce GeXSe (Generative Explanatory Sensor System), a novel framework designed
to extract interpretable sensor-based and vision domain features from non-invasive smart …

Characterization and prediction of mobile tasks

Y Tian, K Zhou, D Pelleg - ACM Transactions on Information Systems, 2023 - dl.acm.org
Mobile devices have become an increasingly ubiquitous part of our everyday life. We use
mobile services to perform a broad range of tasks (eg, booking travel or conducting remote …

Towards smartphone-based sensing of social interaction for ambulatory assessment

A Bachmann - Adjunct Proceedings of the 2015 ACM International …, 2015 - dl.acm.org
In ambulatory assessment, especially when handling subjects with personality disorders, it
is important to monitor the subject's social interactions. Smartphones are already applied to …