Search Results for author: Edison Thomaz

Found 11 papers, 3 papers with code

Development and Evaluation of Three Chatbots for Postpartum Mood and Anxiety Disorders

no code implementations14 Aug 2023 Xuewen Yao, Miriam Mikhelson, S. Craig Watkins, Eunsol Choi, Edison Thomaz, Kaya de Barbaro

In collaboration with Postpartum Support International (PSI), a non-profit organization dedicated to supporting caregivers with postpartum mood and anxiety disorders, we developed three chatbots to provide context-specific empathetic support to postpartum caregivers, leveraging both rule-based and generative models.

Chatbot

Cheating off your neighbors: Improving activity recognition through corroboration

no code implementations27 May 2023 Haoxiang Yu, Jingyi An, Evan King, Edison Thomaz, Christine Julien

From solely an individual's perspective, it can be difficult to differentiate between these activities as they may appear very similar, even though they are markedly different.

Human Activity Recognition

Understanding Postpartum Parents' Experiences via Two Digital Platforms

no code implementations22 Dec 2022 Xuewen Yao, Miriam Mikhelson, Megan Micheletti, Eunsol Choi, S Craig Watkins, Edison Thomaz, Kaya de Barbaro

In the current work, we provide a descriptive analysis of the concerns, psychological states, and motivations shared by healthy and distressed postpartum support seekers on two digital platforms, a one-on-one digital helpline and a publicly available online forum.

Descriptive Vocal Bursts Valence Prediction

Lifelong Adaptive Machine Learning for Sensor-based Human Activity Recognition Using Prototypical Networks

no code implementations11 Mar 2022 Rebecca Adaimi, Edison Thomaz

To push this field forward, we build on recent advances in the area of continual machine learning and design a lifelong adaptive learning framework using Prototypical Networks, LAPNet-HAR, that processes sensor-based data streams in a task-free data-incremental fashion and mitigates catastrophic forgetting using experience replay and continual prototype adaptation.

Class Incremental Learning Human Activity Recognition +1

HAR-GCNN: Deep Graph CNNs for Human Activity Recognition From Highly Unlabeled Mobile Sensor Data

1 code implementation7 Mar 2022 Abduallah Mohamed, Fernando Lejarza, Stephanie Cahail, Christian Claudel, Edison Thomaz

The problem of human activity recognition from mobile sensor data applies to multiple domains, such as health monitoring, personal fitness, daily life logging, and senior care.

Human Activity Recognition

Transferring Voice Knowledge for Acoustic Event Detection: An Empirical Study

no code implementations7 Oct 2021 Dawei Liang, Yangyang Shi, Yun Wang, Nayan Singhal, Alex Xiao, Jonathan Shaw, Edison Thomaz, Ozlem Kalinli, Mike Seltzer

Detection of common events and scenes from audio is useful for extracting and understanding human contexts in daily life.

Event Detection

Audio-Based Activities of Daily Living (ADL) Recognition with Large-Scale Acoustic Embeddings from Online Videos

1 code implementation19 Oct 2018 Dawei Liang, Edison Thomaz

Over the years, activity sensing and recognition has been shown to play a key enabling role in a wide range of applications, from sustainability and human-computer interaction to health care.

Activity Recognition

Leveraging Context to Support Automated Food Recognition in Restaurants

no code implementations7 Oct 2015 Vinay Bettadapura, Edison Thomaz, Aman Parnami, Gregory Abowd, Irfan Essa

The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat.

Food Recognition

Predicting Daily Activities From Egocentric Images Using Deep Learning

no code implementations6 Oct 2015 Daniel Castro, Steven Hickson, Vinay Bettadapura, Edison Thomaz, Gregory Abowd, Henrik Christensen, Irfan Essa

We collected a dataset of 40, 103 egocentric images over a 6 month period with 19 activity classes and demonstrate the benefit of state-of-the-art deep learning techniques for learning and predicting daily activities.

Classification General Classification

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