Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Areas Within Irregular Boundaries

Areas Within Irregular Boundaries

Calculating areas within irregular boundaries, such as along rivers or curved roads, is crucial in various fields, including surveying, engineering, and environmental management. Surveyors often begin by creating a traverse, a connected series of straight lines approximating the area's boundary. The coordinates of each traverse point are essential for calculating the enclosed area. The double meridian distance formula is a widely used technique for this purpose. This method utilizes the...

Implicit Differentiation

Implicit Differentiation

In classical mechanics, motion is often described through relationships between spatial coordinates and time. A car moving along a straight highway with constant acceleration serves as a simple case where velocity is an explicit function of time. This scenario results in a linear equation, enabling straightforward analysis using basic differentiation techniques.In contrast, a satellite in circular orbit follows a path defined by an implicit function. The position of the satellite is constrained...

Implicit Memories

Implicit Memories

Implicit memories, also known as non-declarative memories, are long-term memories that function outside of conscious awareness. These memories influence behavior and skills without explicit knowledge. This type of memory is evident in tasks like playing tennis, snowboarding, and texting. Implicit memory has three subsystems: procedural memory, conditioning, and priming. This type of memory is essential in various activities, from everyday tasks to specialized skills.
One key aspect of implicit...

Implicit Differentiation: Problem Solving

Implicit Differentiation: Problem Solving

Curves defined implicitly, where variables cannot be separated algebraically, require specialized techniques for analysis. The conchoid of Nicomedes exemplifies such a case. Its equation links x and y in a way that prevents isolation of one variable, making implicit differentiation essential to determine the slope and behavior at any point on the curve.The implicit form of the conchoid can be expressed as:To differentiate this equation, y is treated as a function of x, and the chain rule is...

Second Derivatives of Implicit Functions

Second Derivatives of Implicit Functions

Elliptical arches are fundamental in architectural and structural engineering, offering aesthetic appeal and structural efficiency. The shape of an elliptical arch follows a constrained geometric relationship where the height and horizontal position are implicitly related. This means that the height y cannot be explicitly expressed as a function of the horizontal position x, necessitating implicit differentiation for slope and curvature analysis.The equation of an ellipse centered at the origin...

Implicit Personality Theories

Implicit Personality Theories

Implicit personality theory explains how individuals make assumptions about the relationships between personality traits, behaviors, and character types. When people learn that someone possesses a particular trait, they tend to infer the presence of other related characteristics, forming a cohesive impression. This cognitive shortcut plays a crucial role in social interactions and interpersonal judgments.Central Traits and Their InfluenceSolomon Asch's seminal 1946 study highlighted the power...

You might also read

Related Articles

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

Sort by

Same author

An analysis of digoxin serum concentrations and influencing factors: A cross-sectional study from a tertiary hospital in China.

Medicine·2026

Same author

Scalable and Robust Artificial Intelligence for Spine Alignment Assessment: Multicenter Study Enabled by Real-Time Data Transformation.

Journal of medical Internet research·2026

Same author

Multi-Source Weighted Localization Based on Cascaded DOA-TDOA.

Sensors (Basel, Switzerland)·2026

Same author

<i>Moringa oleifera</i> ameliorates streptozotocin-induced hyperglycemia in T2DM rats via gut microbiota.

Food science and biotechnology·2026

Same author

Semi-automated end-to-end quality control system for annotation data based on automated Cobb angle measurement.

European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society·2026

Same author

Dipole synergy enables fast directional charge transport for solar hydrogen and benzaldehyde coproduction.

Nature communications·2025

Search research articles

Related Experiment Video

Updated: Jan 29, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

Implicit Irregularity Detection Using Unsupervised Learning on Daily Behaviors.

Cuijuan Shang, Chih-Yung Chang, Guilin Chen

IEEE Journal of Biomedical and Health Informatics

|February 5, 2019

Summary

This summary is machine-generated.

This study introduces a new method for detecting subtle changes in elderly daily behaviors, improving health monitoring in homecare. The Implicit IRregularity Detection (IIRD) mechanism enhances accuracy in identifying health issues through unsupervised learning.

More Related Videos

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

Related Experiment Videos

Last Updated: Jan 29, 2026

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

The "Motor" in Implicit Motor Sequence Learning: A Foot-stepping Serial Reaction Time Task

Published on: May 3, 2018

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

The Double-H Maze: A Robust Behavioral Test for Learning and Memory in Rodents

Published on: July 8, 2015

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

Area of Science:

Gerontology
Artificial Intelligence
Machine Learning

Background:

Elderly homecare requires effective methods for detecting health irregularities.
Existing methods often rely on explicit biomedical signals or specific behaviors.
Implicit behavioral irregularities, indicative of cognitive and physical wellbeing, are often overlooked.

Purpose of the Study:

To propose an Implicit IRregularity Detection (IIRD) mechanism for identifying subtle health changes in the elderly.
To develop an unsupervised learning algorithm for analyzing diverse daily behaviors.
To improve the detection of implicit health irregularities not directly observable from sensor data.

Main Methods:

Development of an unsupervised learning algorithm for daily behavior analysis.
Identification of distances and similarities between diverse daily behaviors.
Utilizing these features to distinguish regular from irregular behavior patterns.

Main Results:

The proposed IIRD mechanism effectively detects implicit irregularities in elderly daily behaviors.
IIRD demonstrates superior performance compared to existing unsupervised machine learning methods.
Improved detection accuracy and irregularity recall were achieved.

Conclusions:

The IIRD mechanism offers a novel approach to monitoring elderly health through implicit behavioral analysis.
Unsupervised learning on combined daily behaviors can reveal significant health indicators.
This method enhances the capabilities of homecare systems for proactive elderly wellbeing assessment.