Sensing within smart buildings: A survey

W Alsafery, O Rana, C Perera - ACM Computing Surveys, 2023 - dl.acm.org
Increasingly, buildings are being fitted with sensors for the needs of different sectors, such
as education, industry and business. Using Internet of Things devices combined with …

Lstm networks using smartphone data for sensor-based human activity recognition in smart homes

S Mekruksavanich, A Jitpattanakul - Sensors, 2021 - mdpi.com
Human Activity Recognition (HAR) employing inertial motion data has gained considerable
momentum in recent years, both in research and industrial applications. From the abstract …

Fall detection and activity recognition using human skeleton features

H Ramirez, SA Velastin, I Meza, E Fabregas… - Ieee …, 2021 - ieeexplore.ieee.org
Human activity recognition has attracted the attention of researchers around the world. This
is an interesting problem that can be addressed in different ways. Many approaches have …

On the personalization of classification models for human activity recognition

A Ferrari, D Micucci, M Mobilio, P Napoletano - IEEE Access, 2020 - ieeexplore.ieee.org
Recently, a significant amount of literature concerning machine learning techniques has
focused on automatic recognition of activities performed by people. The main reason for this …

Smartwatch-based human activity recognition using hybrid lstm network

S Mekruksavanich, A Jitpattanakul - 2020 IEEE SENSORS, 2020 - ieeexplore.ieee.org
As a result of the rapid development of wearable sensor technology, the use of smartwatch
sensors for human activity recognition (HAR) has recently become a popular area of …

A fast and robust deep convolutional neural networks for complex human activity recognition using smartphone

W Qi, H Su, C Yang, G Ferrigno, E De Momi, A Aliverti - Sensors, 2019 - mdpi.com
As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

Enhanced hand-oriented activity recognition based on smartwatch sensor data using lstms

S Mekruksavanich, A Jitpattanakul, P Youplao… - Symmetry, 2020 - mdpi.com
The creation of the Internet of Things (IoT), along with the latest developments in wearable
technology, has provided new opportunities in human activity recognition (HAR). The …

Negative emotion recognition using deep learning for thai language

S Mekruksavanich, A Jitpattanakul… - 2020 joint international …, 2020 - ieeexplore.ieee.org
Over the last decade, speech emotion recognition (SER) has become an interesting and
challenging topic in the human behavior analysis research field. The objective of this area of …

Recognition of real-life activities with smartphone sensors using deep learning approaches

S Mekruksavanich… - 2021 IEEE 12th …, 2021 - ieeexplore.ieee.org
Due to its vast applications in various industrial sectors, sensor-based human activity
recognition (SHAR) has become a prevalent study issue in machine learning (ML) and deep …

Enhanced human activity recognition using wearable sensors via a hybrid feature selection method

C Fan, F Gao - Sensors, 2021 - mdpi.com
The study of human activity recognition (HAR) plays an important role in many areas such as
healthcare, entertainment, sports, and smart homes. With the development of wearable …