Personalization in Human Activity Recognition

09/01/2020
by   Anna Ferrari, et al.
0

In the recent years there has been a growing interest in techniques able to automatically recognize activities performed by people. This field is known as Human Activity recognition (HAR). HAR can be crucial in monitoring the wellbeing of the people, with special regard to the elder population and those people affected by degenerative conditions. One of the main challenges concerns the diversity of the population and how the same activities can be performed in different ways due to physical characteristics and life-style. In this paper we explore the possibility of exploiting physical characteristics and signal similarity to achieve better results with respect to deep learning classifiers that do not rely on this information.

READ FULL TEXT

page 1

page 2

research
12/20/2021

Human Activity Recognition (HAR) in Smart Homes

Generally, Human Activity Recognition (HAR) consists of monitoring and a...
research
03/15/2012

Comparative Analysis of Probabilistic Models for Activity Recognition with an Instrumented Walker

Rollating walkers are popular mobility aids used by older adults to impr...
research
12/05/2022

Applications of human activity recognition in industrial processes – Synergy of human and technology

Human-technology collaboration relies on verbal and non-verbal communica...
research
09/20/2021

Incremental Learning Techniques for Online Human Activity Recognition

Unobtrusive and smart recognition of human activities using smartphones ...
research
09/02/2018

On the Role of Event Boundaries in Egocentric Activity Recognition from Photostreams

Event boundaries play a crucial role as a pre-processing step for detect...
research
03/21/2018

Modelling the Influence of Cultural Information on Vision-Based Human Home Activity Recognition

Daily life activities, such as eating and sleeping, are deeply influence...
research
06/23/2021

Human Activity Recognition using Continuous Wavelet Transform and Convolutional Neural Networks

Quite a few people in the world have to stay under permanent surveillanc...

Please sign up or login with your details

Forgot password? Click here to reset