Incremental learning techniques for online human activity recognition

M Vakili, M Rezaei - arXiv preprint arXiv:2109.09435, 2021 - arxiv.org
Unobtrusive and smart recognition of human activities using smartphones inertial sensors is
an interesting topic in the field of artificial intelligence acquired tremendous popularity …

Temporal segmentation using support vector machines in the context of human activity recognition

RQ Vlasveld - 2014 - studenttheses.uu.nl
In this thesis we construct a method to create a temporal segmentation on time series data
recorded during human activities by inertial sensors in smartphones. Our assump-tion is that …

Seabird: Sensor activity identification from streams of data

J Molano-Pulido, C Jiménez-Guarín - Colombian Conference on …, 2017 - Springer
Active Aging is a proposal that aims to improve life quality, as a person grows old. One of the
main use cases of this concept is the application of products and services based on …

[PDF][PDF] Detecting user reading behaviour using smartphone sensors

T Ilmjärv - Bachelor Thesis, 2015 - core.ac.uk
Smartphones have become very widespread. 15% of total internet traffic consisted of mobile
traffic in 2013. Mobile traffic has been growing 1.5 times annually over the course of last 5 …

[PDF][PDF] Improvement of transfer learning techniques in activity recognition

N Hernandez-Cruz - 2021 - pure.ulster.ac.uk
Activity recognition is a research area focused on identifying human actions from a collection
of sensor data. Often, solutions rely on design-time techniques that remain static after being …

Pairwise Classification using Combination of Statistical Descriptors with Spectral Analysis Features for Recognizing Walking Activities

MNS Zainudin, MN Sulaiman… - Journal of …, 2017 - jtec.utem.edu.my
The advancement of sensor technology has provided valuable information for evaluating
functional abilities in various application domains. Human activity recognition (HAR) has …