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

Velocity and Position by Integral Method01:13

Velocity and Position by Integral Method

7.5K
If acceleration as a function of time is known, then velocity and position functions can be derived using integral calculus. For constant acceleration, the integral equations refer to the first and second kinematic equations for velocity and position functions, respectively.
Consider an example to calculate the velocity and position from the acceleration function. A motorboat is traveling at a constant velocity of 5.0 m/s when it starts to decelerate to arrive at the dock. Its acceleration is...
7.5K
Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

9.7K
Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
9.7K
Position of Equilibrium in Acid-Base Reactions02:05

Position of Equilibrium in Acid-Base Reactions

14.7K
In any solution, the value of pKa indicates whether an acid is completely dissociated or not. A negative pKa corresponds to a stronger acid, whereas a positive pKa corresponds to a weaker acid. Consider the reaction between ammonia and an ethoxide ion. In this reaction, ethanol with a pKa of 15.9 is a stronger acid than ammonia with a pKa of 38. Recall that the strong acid forms a weak conjugate base, and a weak acid forms a strong conjugate base. Hence, the ethoxide ion is a weak base.
14.7K
Position-effect Variegation02:32

Position-effect Variegation

7.0K
In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
7.0K
Position and Displacement01:31

Position and Displacement

25.3K
The position of an object defines its location relative to a convenient frame of reference at any particular time. A frame of reference is an arbitrary set of axes from which the position and motion of an object are described. Earth is often used as a frame of reference, and we often describe the position of an object as it relates to stationary objects on Earth. For example, a rocket launch could be described in terms of the position of the rocket with respect to Earth as a whole. On the other...
25.3K
Serial Position Effect01:03

Serial Position Effect

539
The serial position effect is a cognitive phenomenon where individuals are more likely to recall the first and last items in a list compared to those in the middle. This effect is divided into the primacy effect and the recency effect. The primacy effect is observed when the initial items in a list are remembered better. This occurs because these items are rehearsed more frequently or receive more elaborative processing, allowing them to be encoded into long-term memory more effectively. For...
539

You might also read

Related Articles

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

Sort by
Same author

Cattle Target Segmentation Method in Multi-Scenes Using Improved DeepLabV3+ Method.

Animals : an open access journal from MDPI·2023
Same author

An Improved Single Shot Multibox Detector Method Applied in Body Condition Score for Dairy Cows.

Animals : an open access journal from MDPI·2019
Same author

Hybrid zeolitic imidazolate frameworks with catalytically active TO4 building blocks.

Angewandte Chemie (International ed. in English)·2010
Same author

Whiter matter abnormalities in medication-naive subjects with a single short-duration episode of major depressive disorder.

Psychiatry research·2010
Same author

A new comorbidity index: the health-related quality of life comorbidity index.

Journal of clinical epidemiology·2010
Same author

S-adenosylmethionine inhibits the growth of cancer cells by reversing the hypomethylation status of c-myc and H-ras in human gastric cancer and colon cancer.

International journal of biological sciences·2010

Related Experiment Video

Updated: Jan 27, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.1K

A Posture Recognition Method Based on Indoor Positioning Technology.

Xiaoping Huang1, Fei Wang2, Jian Zhang3

  • 1Institute of Intelligent Machines, Chinese Academy of Sciences, University of Science and Technology of China, Hefei 230031, China. hxping@mail.ustc.edu.cn.

Sensors (Basel, Switzerland)
|March 29, 2019
PubMed
Summary
This summary is machine-generated.

This study introduces a novel body posture recognition system using indoor positioning technology and ultra-wide band (UWB) radio. The improved extended Kalman filtering (iEKF) algorithm enhances accuracy and reduces errors in posture recognition.

Keywords:
Kalman filteringindoor positioningmulti-sensor combinationposture recognitionwireless body area network

More Related Videos

An Instrumented Pull Test to Characterize Postural Responses
12:18

An Instrumented Pull Test to Characterize Postural Responses

Published on: April 6, 2019

11.4K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Related Experiment Videos

Last Updated: Jan 27, 2026

Experimental Methods to Study Human Postural Control
08:12

Experimental Methods to Study Human Postural Control

Published on: September 11, 2019

10.1K
An Instrumented Pull Test to Characterize Postural Responses
12:18

An Instrumented Pull Test to Characterize Postural Responses

Published on: April 6, 2019

11.4K
Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment
06:49

Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

Published on: December 11, 2015

9.3K

Area of Science:

  • Human-computer interaction
  • Biomedical engineering
  • Robotics

Background:

  • Traditional posture recognition methods like machine vision and acceleration sensors have limitations, including privacy concerns, high costs, complex implementation, and low accuracy for static poses.
  • Existing methods necessitate improvements for broader applications in physical training, surveillance, and healthcare.

Purpose of the Study:

  • To present a novel body posture recognition scheme leveraging indoor positioning technology.
  • To address the limitations of traditional methods by introducing a more accurate and efficient approach.

Main Methods:

  • A single indoor positioning system was deployed with wearable receiving tags on key human body points.
  • Ultra-wide band (UWB) radio was utilized for distance measurement to precisely locate these body points.
  • The least square estimation (LSE) and an improved extended Kalman filtering (iEKF) algorithm were employed for noise suppression and enhanced positioning accuracy.

Main Results:

  • The iEKF algorithm demonstrated superior performance in error reduction compared to the LSE method.
  • Accurate positioning of key body points was achieved, forming the basis for reliable posture recognition.
  • Simulation results validated the effectiveness of the iEKF algorithm in improving both positioning and recognition accuracy.

Conclusions:

  • The proposed indoor positioning-based scheme offers a viable and effective alternative for body posture recognition.
  • The iEKF algorithm significantly enhances the accuracy and robustness of the posture recognition system.
  • This approach holds promise for applications requiring precise and non-invasive human pose estimation.