Personalizing activity recognition models through quantifying different types of uncertainty using wearable sensors
Recognizing activities of daily living (ADL) provides vital contextual information that
enhances the effectiveness of various mobile health and wellness applications …
enhances the effectiveness of various mobile health and wellness applications …
Deep learning and model personalization in sensor-based human activity recognition
Human activity recognition (HAR) is a line of research whose goal is to design and develop
automatic techniques for recognizing activities of daily living (ADLs) using signals from …
automatic techniques for recognizing activities of daily living (ADLs) using signals from …
Latent feature learning for activity recognition using simple sensors in smart homes
Activity recognition is an important step towards monitoring and evaluating the functional
health of an individual, and it potentially promotes human-centric ubiquitous applications in …
health of an individual, and it potentially promotes human-centric ubiquitous applications in …
Personalized human activity recognition using wearables: A manifold learning-based knowledge transfer
Human activity recognition (HAR) is an important component in health-care systems. For
example, it can enable context-aware applications such as elderly care and patient …
example, it can enable context-aware applications such as elderly care and patient …
Personalized human activity recognition using convolutional neural networks
SA Rokni, M Nourollahi, H Ghasemzadeh - Proceedings of the AAAI …, 2018 - ojs.aaai.org
A major barrier to the personalized Human Activity Recognition using wearable sensors is
that the performance of the recognition model drops significantly upon adoption of the …
that the performance of the recognition model drops significantly upon adoption of the …
Smartphone sensor-based human activity recognition robust to different sampling rates
T Hasegawa - IEEE Sensors Journal, 2020 - ieeexplore.ieee.org
There is a research field of human activity recognition that automatically recognizes a user's
physical activity through sensing technology incorporated in smartphones and other …
physical activity through sensing technology incorporated in smartphones and other …
Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing
D Gholamiangonabadi, K Grolinger - Applied Intelligence, 2023 - Springer
Abstract Human Activity Recognition (HAR) has been attracting research attention because
of its importance in applications such as health monitoring, assisted living, and active living …
of its importance in applications such as health monitoring, assisted living, and active living …
A robust human activity recognition system using smartphone sensors and deep learning
In last few decades, human activity recognition grabbed considerable research attentions
from a wide range of pattern recognition and human–computer interaction researchers due …
from a wide range of pattern recognition and human–computer interaction researchers due …
Leveraging wearable sensors for human daily activity recognition with stacked denoising autoencoders
Activity recognition has received considerable attention in many research fields, such as
industrial and healthcare fields. However, many researches about activity recognition have …
industrial and healthcare fields. However, many researches about activity recognition have …
Attention-based deep learning framework for human activity recognition with user adaptation
D Buffelli, F Vandin - IEEE Sensors Journal, 2021 - ieeexplore.ieee.org
Sensor-based human activity recognition (HAR) requires to predict the action of a person
based on sensor-generated time series data. HAR has attracted major interest in the past …
based on sensor-generated time series data. HAR has attracted major interest in the past …