A review of multimodal human activity recognition with special emphasis on classification, applications, challenges and future directions

SK Yadav, K Tiwari, HM Pandey, SA Akbar - Knowledge-Based Systems, 2021 - Elsevier
Human activity recognition (HAR) is one of the most important and challenging problems in
the computer vision. It has critical application in wide variety of tasks including gaming …

Recent progress in sensing and computing techniques for human activity recognition and motion analysis

Z Meng, M Zhang, C Guo, Q Fan, H Zhang, N Gao… - Electronics, 2020 - mdpi.com
The recent scientific and technical advances in Internet of Things (IoT) based pervasive
sensing and computing have created opportunities for the continuous monitoring of human …

Unimib shar: A dataset for human activity recognition using acceleration data from smartphones

D Micucci, M Mobilio, P Napoletano - Applied Sciences, 2017 - mdpi.com
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …

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 …

Dual-branch interactive networks on multichannel time series for human activity recognition

Y Tang, L Zhang, H Wu, J He… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
The popularity of convolutional architecture has made sensor-based human activity
recognition (HAR) become one primary beneficiary. By simply superimposing multiple …

Human activity classification using Decision Tree and Naive Bayes classifiers

K Maswadi, NA Ghani, S Hamid… - Multimedia Tools and …, 2021 - Springer
With rapid development in wireless sensor networks and continuous improvements in
developing artificial intelligence-based scientific solutions, the concept of ambient assisted …

Parkinson's disease tremor detection in the wild using wearable accelerometers

R San-Segundo, A Zhang, A Cebulla, S Panev… - Sensors, 2020 - mdpi.com
Continuous in-home monitoring of Parkinson's Disease (PD) symptoms might allow
improvements in assessment of disease progression and treatment effects. As a first step …

Wearable IMU-based human activity recognition algorithm for clinical balance assessment using 1D-CNN and GRU ensemble model

YW Kim, KL Joa, HY Jeong, S Lee - Sensors, 2021 - mdpi.com
In this study, a wearable inertial measurement unit system was introduced to assess patients
via the Berg balance scale (BBS), a clinical test for balance assessment. For this purpose …

Comparison of different sets of features for human activity recognition by wearable sensors

S Rosati, G Balestra, M Knaflitz - Sensors, 2018 - mdpi.com
Human Activity Recognition (HAR) refers to an emerging area of interest for medical,
military, and security applications. However, the identification of the features to be used for …

Wearable computing for Internet of Things: A discriminant approach for human activity recognition

W Lu, F Fan, J Chu, P Jing… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
With the rapid development of the wireless sensor network and the continuous improvement
of its key technologies, the concept of Internet of Things has been encouraged and extended …