A public domain dataset for real-life human activity recognition using smartphone sensors

D Garcia-Gonzalez, D Rivero, E Fernandez-Blanco… - Sensors, 2020 - mdpi.com
In recent years, human activity recognition has become a hot topic inside the scientific
community. The reason to be under the spotlight is its direct application in multiple domains …

Recognizing water-based activities in the home through infrastructure-mediated sensing

E Thomaz, V Bettadapura, G Reyes… - Proceedings of the …, 2012 - dl.acm.org
Activity recognition in the home has been long recognized as the foundation for many
desirable applications in fields such as home automation, sustainability, and healthcare …

An adaptive batch size-based-CNN-LSTM framework for human activity recognition in uncontrolled environment

NA Choudhury, B Soni - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Human activity recognition (HAR) is a process of identifying the daily living activities of an
individual using a set of sensors and appropriate learning algorithms. Most of the works on …

A lightweight hierarchical activity recognition framework using smartphone sensors

M Han, JH Bang, C Nugent, S McClean, S Lee - Sensors, 2014 - mdpi.com
Activity recognition for the purposes of recognizing a user's intentions using multimodal
sensors is becoming a widely researched topic largely based on the prevalence of the …

Activity recognition on smartphones via sensor-fusion and KDA-based SVMs

AM Khan, A Tufail, AM Khattak… - International Journal of …, 2014 - journals.sagepub.com
Although human activity recognition (HAR) has been studied extensively in the past decade,
HAR on smartphones is a relatively new area. Smartphones are equipped with a variety of …

USC-HAD: A daily activity dataset for ubiquitous activity recognition using wearable sensors

M Zhang, AA Sawchuk - Proceedings of the 2012 ACM conference on …, 2012 - dl.acm.org
Many ubiquitous computing applications involve human activity recognition based on
wearable sensors. Although this problem has been studied for a decade, there are a limited …

Human activity recognition using machine learning methods in a smart healthcare environment

A Subasi, K Khateeb, T Brahimi, A Sarirete - Innovation in health informatics, 2020 - Elsevier
The rapid developments in information and communication technologies and wireless
communication networks have led to the utilization of the smart sensors. In modern …

Human activity recognition from wireless sensor network data: Benchmark and software

TLM van Kasteren, G Englebienne… - Activity recognition in …, 2011 - Springer
Although activity recognition is an active area of research no common benchmark for
evaluating the performance of activity recognition methods exists. In this chapter we present …

Dynamic segmentation of sensor events for real-time human activity recognition in a smart home context

H Najeh, C Lohr, B Leduc - Sensors, 2022 - mdpi.com
Human activity recognition (HAR) is fundamental to many services in smart buildings.
However, providing sufficiently robust activity recognition systems that could be confidently …

Sensor-based activity recognition via learning from distributions

H Qian, S Pan, C Miao - Proceedings of the AAAI Conference on …, 2018 - ojs.aaai.org
Sensor-based activity recognition aims to predict users' activities from multi-dimensional
streams of various sensor readings received from ubiquitous sensors. To use machine …