Jove
Visualize
联系我们

相关概念视频

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Gyro-Mag: Attack-Resilient System Based on Sensor Estimation.

Sensors (Basel, Switzerland)·2025
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
查看所有相关文章
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关实验视频

Updated: May 25, 2025

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

8.8K

真正的步骤或不是:在移动到钱应用程序中的自动步行者检测

Sunwoo Lee1

  • 1Department of Information Security, Seoul Women's University, 621, Hwarang-ro, Nowon-gu, Seoul 01797, Republic of Korea.

Sensors (Basel, Switzerland)
|February 26, 2025
PubMed
概括
此摘要是机器生成的。

移动钱 (M2E) 应用程序奖励身体活动,但一些用户使用自动步行者作弊. 我们的AI方法准确地检测到假活动,确保为真实用户提供公平的奖励.

关键词:
在这里,我们可以看到AIAIAI.在M2E中,M2E是M2E.这是一个MEMS传感器.发现欺诈 发现欺诈步态 步态 步态 步态信号处理 信号处理 信号处理

更多相关视频

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

8.8K
Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury
07:28

Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury

Published on: March 24, 2023

2.6K

相关实验视频

Last Updated: May 25, 2025

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

8.8K
Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion
08:19

Asymmetric Walkway: A Novel Behavioral Assay for Studying Asymmetric Locomotion

Published on: January 15, 2016

8.8K
Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury
07:28

Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury

Published on: March 24, 2023

2.6K

科学领域:

  • 数字健康数字健康
  • 人工智能的人工智能
  • 人与计算机的交互

背景情况:

  • 移动获取 (M2E) 应用程序将身体活动与数字奖励相结合.
  • 与游戏钱 (P2E) 模式不同,M2E平台激励现实世界的运动.
  • 越来越多的智能手机使用和健康意识推动了M2E采用.

研究的目的:

  • 开发一种基于人工智能的方法,以区分真实的用户活动和模拟的自动步行者活动在M2E平台上.
  • 确保M2E应用程序中的奖励分配机制的完整性.
  • 为了验证模型在各种数据集中的通用性.

主要方法:

  • 利用通过智能手机收集的六个开放步行数据集和自动步行者数据集.
  • 开发并评估了一种人工智能模型,以区分真实和模拟的步态数据.
  • 进行了公正和透明的模型评估.

主要成果:

  • 人工智能模型在自动步行者数据集中获得了F1得分0.997.
  • 人工智能模型在真正的步态数据集中获得了1000的完美F1得分.
  • 在可见和不可见的数据集上展示了有效的歧视,证实了模型的概括性.

结论:

  • 提出的基于人工智能的方法有效地识别了M2E应用中的模拟活动.
  • 这种方法提高了M2E奖励系统的公平性和可靠性.
  • 该模型在各种数据集中的强大性能支持其在M2E平台中的实际应用.