research
∙
06/01/2023
Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity Recognition
Human activity recognition (HAR) in wearable computing is typically base...
share
research
∙
05/22/2023
ConvBoost: Boosting ConvNets for Sensor-based Activity Recognition
Human activity recognition (HAR) is one of the core research themes in u...
research
∙
12/23/2022
Simple Yet Surprisingly Effective Training Strategies for LSTMs in Sensor-Based Human Activity Recognition
Human Activity Recognition (HAR) is one of the core research areas in mo...
research
∙
11/11/2022
Investigating Enhancements to Contrastive Predictive Coding for Human Activity Recognition
The dichotomy between the challenging nature of obtaining annotations fo...
research
∙
10/13/2022
Finding Islands of Predictability in Action Forecasting
We address dense action forecasting: the problem of predicting future ac...
research
∙
11/19/2021
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous Sensing
Sleep is a fundamental physiological process that is essential for susta...
research
∙
05/20/2021
Explainable Activity Recognition for Smart Home Systems
Smart home environments are designed to provide services that help impro...
research
∙
03/29/2021
PLAN-B: Predicting Likely Alternative Next Best Sequences for Action Prediction
Action prediction focuses on anticipating actions before they happen. Re...
research
∙
12/09/2020
Contrastive Predictive Coding for Human Activity Recognition
Feature extraction is crucial for human activity recognition (HAR) using...
research
∙
07/12/2020
Transfer Learning for Activity Recognition in Mobile Health
While activity recognition from inertial sensors holds potential for mob...
research
∙
02/21/2019
Towards Reliable, Automated General Movement Assessment for Perinatal Stroke Screening in Infants Using Wearable Accelerometers
Perinatal stroke (PS) is a serious condition that, if undetected and thu...
research
∙
11/26/2018
Robust Cross-View Gait Identification with Evidence: A Discriminant Gait GAN (DiGGAN) Approach on 10000 People
Gait is an important biometric trait for surveillance and forensic appli...
research
∙
09/26/2018
Geographical veracity of indicators derived from mobile phone data
In this contribution we summarize insights on the geographical veracity ...
research
∙
09/20/2018
Assessing the quality of home detection from mobile phone data for official statistics
Mobile phone data are an interesting new data source for official statis...
research
∙
08/20/2018
Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art
Non-continuous location traces inferred from Call Detail Records (CDR) a...
research
∙
05/22/2018
Adaptive App Design by Detecting Handedness
Taller and sleeker smartphone devices are becoming the new norm. More sc...
research
∙
05/19/2018
On Attention Models for Human Activity Recognition
Most approaches that model time-series data in human activity recognitio...
research
∙
03/28/2017
Ensembles of Deep LSTM Learners for Activity Recognition using Wearables
Recently, deep learning (DL) methods have been introduced very successfu...
research
∙
04/29/2016
