ArticleScientific data2022
OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- EVIORA-HAR: A multimodal dataset for elderly activity recognition and safety-controlled fall detection using wearable inertial sensors and multi-view cameras.Data in brief · 2026Article
- Human Activity Recognition with Noise-Injected Time-Distributed AlexNet.Biomimetics (Basel, Switzerland) · 2025Article
- A Benchmark Dataset for Radio Signal Image-based Person Re-Identification.Scientific data · 2025Article
- Self-Supervised WiFi-Based Identity Recognition in Multi-User Smart Environments.Sensors (Basel, Switzerland) · 2025Article
- Introducing an indoor object classification dataset including sparse point clouds from mmWave radar.Scientific data · 2024Article
- A hybrid deep approach to recognizing student activity and monitoring health physique based on accelerometer data from smartphones.Scientific reports · 2024Article
- Passive Radar Sensing for Human Activity Recognition: A Survey.IEEE open journal of engineering in medicine and biology · 2024Article
- Radar human breathing dataset for applications of ambient assisted living and search and rescue operations.Data in brief · 2023Article
- Review on Human Action Recognition in Smart Living: Sensing Technology, Multimodality, Real-Time Processing, Interoperability, and Resource-Constrained Processing.Sensors (Basel, Switzerland) · 2023Review
- A Semi-supervised Sensing Rate Learning based CMAB scheme to combat COVID-19 by trustful data collection in the crowd.Computer communications · 2023Article
- Multimodal sensor fusion in the latent representation space.Scientific reports · 2023Article
- Driving Activity Recognition Using UWB Radar and Deep Neural Networks.Sensors (Basel, Switzerland) · 2023Article
- STC-NLSTMNet: An Improved Human Activity Recognition Method Using Convolutional Neural Network with NLSTM from WiFi CSI.Sensors (Basel, Switzerland) · 2022Article
- A comprehensive ultra-wideband dataset for non-cooperative contextual sensing.Scientific data · 2022Article
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors.Scientific data · 2022Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
This paper presents a comprehensive dataset intended to evaluate passive Human Activity Recognition (HAR) and localization techniques with measurements obtained from synchronized Radio-Frequency (RF) devices and vision-based sensors. The dataset consists of RF data including Channel State Information (CSI) extracted from a WiFi Network Interface Card (NIC), Passive WiFi Radar (PWR) built upon a Software Defined Radio (SDR) platform, and Ultra-Wideband (UWB) signals acquired via commercial off-the-shelf hardware. It also consists of vision/Infra-red based data acquired from Kinect sensors. Approximately 8 hours of annotated measurements are provided, which are collected across two rooms from 6 participants performing 6 daily activities. This dataset can be exploited to advance WiFi and vision-based HAR, for example, using pattern recognition, skeletal representation, deep learning algorithms or other novel approaches to accurately recognize human activities. Furthermore, it can potentially be used to passively track a human in an indoor environment. Such datasets are key tools required for the development of new algorithms and methods in the context of smart homes, elderly care, and surveillance applications.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.