Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

112
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
112
Multi-input and Multi-variable systems01:22

Multi-input and Multi-variable systems

186
Cruise control systems in cars are designed as multi-input systems to maintain a driver's desired speed while compensating for external disturbances such as changes in terrain. The block diagram for a cruise control system typically includes two main inputs: the desired speed set by the driver and any external disturbances, such as the incline of the road. By adjusting the engine throttle, the system maintains the vehicle's speed as close to the desired value as possible.
In the absence...
186
Automatic Processing and Automatic Social Behavior01:28

Automatic Processing and Automatic Social Behavior

17
Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
17
Woodward–Hoffmann Selection Rules and Microscopic Reversibility01:34

Woodward–Hoffmann Selection Rules and Microscopic Reversibility

3.3K
Electrocyclic reactions, cycloadditions, and sigmatropic rearrangements are concerted pericyclic reactions that proceed via a cyclic transition state. These reactions are stereospecific and regioselective. The stereochemistry of the products depends on the symmetry characteristics of the interacting orbitals and the reaction conditions. Accordingly, pericyclic reactions are classified as either symmetry-allowed or symmetry-forbidden. Woodward and Hoffmann presented the selection criteria for...
3.3K
Multi-species Conserved Sequences02:51

Multi-species Conserved Sequences

4.3K
Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale  studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...
4.3K
Heuristics01:21

Heuristics

161
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
161

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Contributions of Artificial Intelligence to Analysis of Gut Microbiota in Autism Spectrum Disorder: A Systematic Review.

Children (Basel, Switzerland)·2024
Same author

Acceptance and Privacy Perceptions Toward Video-based Active and Assisted Living Technologies: Scoping Review.

Journal of medical Internet research·2023
Same author

Correction: Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns.

Journal of medical Internet research·2022
Same author

Interdisciplinary perspectives on privacy awareness in lifelogging technology development.

Journal of ambient intelligence and humanized computing·2022
Same author

Ambient Assisted Living: Scoping Review of Artificial Intelligence Models, Domains, Technology, and Concerns.

Journal of medical Internet research·2022
Same author

Bedtime Monitoring for Fall Detection and Prevention in Older Adults.

International journal of environmental research and public health·2022

Related Experiment Video

Updated: Oct 3, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K

Privacy-Preserving Human Action Recognition with a Many-Objective Evolutionary Algorithm.

Pau Climent-Pérez1, Francisco Florez-Revuelta1

  • 1Department of Computing Technology, University of Alicante, 03690 Alicante, Spain.

Sensors (Basel, Switzerland)
|February 15, 2022
PubMed
Summary

This study uses a many-objective evolutionary algorithm to improve human action recognition from wrist-worn sensors while reducing gender and age identification. This balances privacy with the utility of activity tracking for active and assisted living.

Keywords:
activities of daily livingde-identificationevolutionary algorithmshuman action recognitionprivacy-by-designwearable sensorswrist-worn accelerometer data

More Related Videos

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.3K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.7K

Related Experiment Videos

Last Updated: Oct 3, 2025

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.1K
Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention
06:37

Author Spotlight: Addressing Technical and Subjective Challenges in Measuring Classroom Attention

Published on: December 15, 2023

4.3K
Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances
07:35

Selecting Multiple Biomarker Subsets with Similarly Effective Binary Classification Performances

Published on: October 11, 2018

7.7K

Area of Science:

  • Biomedical Engineering
  • Computer Science
  • Human-Computer Interaction

Background:

  • Wrist-worn accelerometers enable active and assisted living (AAL) applications like lifelogging and health monitoring.
  • Human action recognition (HAR), especially of activities of daily living (ADLs), is key for these AAL services.
  • Balancing data utility with user privacy (e.g., concealing demographics) is a critical challenge.

Purpose of the Study:

  • To develop a method using a many-objective evolutionary algorithm (MaOEA) to optimize HAR.
  • To simultaneously minimize the recognition of gender and age from accelerometer data.
  • To evaluate the trade-off between action recognition accuracy and demographic privacy.

Main Methods:

  • Utilized a many-objective evolutionary algorithm (MaOEA).
  • Applied the algorithm to the PAAL accelerometer signal ADL dataset (v2.0).
  • Optimized for maximizing action recognition while minimizing gender and age recognition.

Main Results:

  • Gender recognition decreased from 89% to 58% (31% drop).
  • Age recognition decreased from 83% to 39% (44% drop).
  • Action recognition remained high, decreasing from 87% to 68% (19% drop).

Conclusions:

  • The MaOEA effectively reduces demographic recognition (gender, age) from accelerometer data.
  • The method maintains a significant level of human action recognition.
  • This approach offers a promising way to enhance privacy in AAL systems using wearable sensors.