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

IR Frequency Region: Fingerprint Region

IR Frequency Region: Fingerprint Region

IR spectra are divided into two main regions: the diagnostic region and the fingerprint region. The diagnostic region of the spectrum lies above 1500 cm−1. The absorptions resulting from single-bond vibrations of the N–H, C–H, and O–H stretch at higher wavenumbers and appear on the left side of the spectrum. The stretching absorptions of the C≡C and C≡N occur between 2100–2300 cm−1. In contrast, those arising from stretching absorptions of the...

Naturalistic Observations

Naturalistic Observations

If you want to understand how behavior occurs, one of the best ways to gain information is to simply observe the behavior in its natural context. However, people might change their behavior in unexpected ways if they know they are being observed. How do researchers obtain accurate information when people tend to hide their natural behavior? As an example, imagine that your professor asks everyone in your class to raise their hand if they always wash their hands after using the restroom. Chances...

You might also read

Related Articles

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

Sort by

Same author

Antiphospholipid syndrome (APS) is a platelet factor 4 (PF4)-centric immunothrombotic disorder.

Blood·2026

Same author

Clinical Characteristics as Predictors of Healthcare Resource Utilization in Immunoglobulin A Nephropathy: A Retrospective Database Study.

Journal of health economics and outcomes research·2026

Same author

Humoral Response to COVID-19 Vaccines and Infection During Sibeprenlimab Treatment of IgA Nephropathy: Data from the ENVISION Trial.

Clinical journal of the American Society of Nephrology : CJASN·2026

Same author

Pattern of Recurrence in Carcinoma Oral Cavity: Prospective Longitudinal Study.

Journal of maxillofacial and oral surgery·2026

Same author

Biochemical composition and demographic distribution of kidney stones: a hospital-based cross-sectional study in Eastern Nepal.

BMC nephrology·2026

Same author

Extensive ossifying fibroma of the mandible: segmental resection and free fibula flap reconstruction.

Journal of surgical case reports·2026

Same journal

TraNce: Type-aware hypergraph neural network with biological mediators for drug repositioning.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Decentralized ADMM for factorization-based Low-rank matrix estimation.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Memristive neuromorphic circuit design inspired by the neural mechanisms of conditioned fear.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Q-learning based asynchronous Boolean control networks stabilization with data loss.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

New results on prescribed-time synchronization of complex networks via intermittent control.

Neural networks : the official journal of the International Neural Network Society·2026

Same journal

Variance-constrained multi-view ensemble broad network for imbalanced data.

Neural networks : the official journal of the International Neural Network Society·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Oct 11, 2025

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

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

Published on: December 11, 2015

CSITime: Privacy-preserving human activity recognition using WiFi channel state information.

Santosh Kumar Yadav¹, Siva Sai², Akshay Gundewar²

¹Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, UP 201002, India; Cyber Physical System, CSIR-Central Electronics Engineering Research Institute (CEERI), Pilani 333031, India; DeepBlink LLC, 30 N Gould St Ste R, Sheridan, WY 82801, United States.

Neural Networks : the Official Journal of the International Neural Network Society

|November 28, 2021

Summary

This summary is machine-generated.

This study introduces CSITime, a novel WiFi Channel State Information (CSI) based human activity recognition (HAR) system. CSITime achieves high accuracy, outperforming existing methods and demonstrating robust performance across diverse datasets.

Keywords:

Data augmentation Human activity recognition Time series classification WiFi channel state information

More Related Videos

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

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

Published on: December 15, 2023

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Related Experiment Videos

Last Updated: Oct 11, 2025

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

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

Published on: December 11, 2015

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

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

Published on: December 15, 2023

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Using a Real-Time Locating System to Measure Walking Activity Associated with Wandering Behaviors Among Institutionalized Older Adults

Published on: February 8, 2019

Area of Science:

Computer Science
Artificial Intelligence
Signal Processing

Background:

Human Activity Recognition (HAR) is crucial for smart applications but faces limitations with traditional vision and sensor methods.
WiFi Channel State Information (CSI) offers a promising, cost-effective alternative for HAR due to easy deployment.
Existing CSI-based HAR methods require further optimization for accuracy and robustness.

Purpose of the Study:

To propose CSITime, a modified InceptionTime network for enhanced CSI-based human activity recognition.
To treat CSI activity recognition as a multi-variate time series problem.
To improve the accuracy and robustness of WiFi-based HAR systems.

Main Methods:

Developed CSITime, a network integrating convolutional kernels, self-attention, and Mish activation.
Employed data augmentation techniques like mixup and cutmix for improved neural network learning.
Utilized one-cycle policy and cosine annealing for efficient neural network training.

Main Results:

CSITime achieved state-of-the-art accuracies: 98.20% (ARIL), 98% (StanWiFi), and 95.42% (SignFi).
Demonstrated superior performance over existing methods by 3.3%, 0.67%, and 0.82% on benchmark datasets.
Showcased improved robustness, achieving 2.17% higher accuracy on a challenging SignFi dataset scenario with distribution shifts.

Conclusions:

CSITime represents a significant advancement in CSI-based human activity recognition.
The proposed architecture and training strategies effectively enhance HAR performance.
CSITime offers a robust and accurate solution for real-world HAR applications.