Wearable dataset. Devices are grouped into 193 device families, where devices from one manufacturer with similar characteristics are considered one family. We embeded a search function that allows multiple keyword search by placing a “ “ in between keywords, a custom search builder that allows multiple conditional search, and an export tool that allows copying and downloading data in csv format. Preview data samples for free. This could be attributed to their design for computer vision tasks, while wearable sensor datasets consist of sequential data with temporal dependencies and other char-acteristics. The following sensor modalities are included: blood volume pulse, electrocardiogram, electrodermal activity, electromyogram, respiration Feb 1, 2020 · This dataset contains all information from the 362 wearable devices collected during the Vandrico wearable database search and web search. Blood volume pulse, motion-based activity, skin temperature, and electrodermal activity were recorded with the Empatica E4, a research-grade wearable. The raw data recordings can be accessed here . Since these devices collect personal health and activity data, ensuring the privacy and security of the transmitted data is crucial. This is a supplementary repository for the Emognition Wearable Dataset 2020 and article titled Emognition dataset: emotion recognition with self-reports, facial expressions, and physiology using wearables. At the same time, in the past decade, the Find the right Wearables Datasets: Explore 100s of datasets and databases. Jan 24, 2025 · Abstract This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. Oct 16, 2024 · To address this problem, we introduce a new dataset involving wrist-worn accelerometers, wearable cameras, and sleep diaries, enabling data collection for over 24 hours in a free-living setting. For the sake of simplicity, we use the umbrella term “small devices” for these technologies. The following sensor modalities are included: blood volume pulse, electrocardiogram, electrodermal activity, electromyogram, respiration, body temperature, and Apr 3, 2024 · Wearable devices, such as headsets and activity trackers, rely heavily on the Bluetooth and/or the Bluetooth Low Energy wireless communication standard to exchange data with smartphones or other peripherals. Jun 24, 2025 · This original dataset contains physiological signals collected during structured acute stress induction and aerobic and anaerobic exercise sessions using a wearable device. It includes information such as age, weight, height, daily step counts, heart rates, and sleep durations over a 30-day period for a sample population of 10000 individuals. Apr 16, 2025 · This dataset simulates real-time physiological data collected from wearable sports health monitoring devices within an Intelligence of Social Things (IoST) environment. We seek to address the limitation of existing datasets of such nature in these areas. All entries are synthetic, privacy-safe, and ready for ML pipelines. Many wearable devices have been released since. Aug 23, 2025 · This dataset enables researchers to use continuous physiological signals retrieved from mobile wearable devices to predict and understand daily human mental health indicators. Apr 22, 2024 · This dataset contains synthetic data representing a population's health metrics collected from wearable devices. This multimodal dataset features physiological and motion data, recorded from both a wrist- and a chest-worn device, of 15 subjects during a lab study. OWEAR is actively seeking open source software and datasets from wearable sensors and other connected devices technologies to build our database of resources for the community. It includes 500 records representing athletes’ vital signs, physical activity, and GPS data over time. There are 20 attributes Bluetooth Wearable Device Dataset This repository contains metadata and usage examples of radio recordings from wearable devices, captured using SDR in an RF isolated environment. Jul 16, 2022 · Objectives Accelerometer-based wrist-worn fitness trackers and smartwatches (wearables) appeared on the consumer market in 2011. Data description We identified wearables and extracted information from six online and offline databases. Data Set Information: "WESAD is a publicly available dataset for wearable stress and affect detection. Buy & download Wearables Data datasets instantly. The objective of this data paper is to describe a dataset of 423 wearables released before July 2017. The repository contains several jupyter notebooks with data manipulations and visualizations DATASETS FOR MOBILE, WEARABLE AND IOT RESEARCH The advent of afordable devices with sensors and communication capabilities has led to the proliferation of computing paradigms, such as the Internet of Things (IoT), mobile devices, and wearable technologies. We also In this paper, we introduce SurDis, a novel dataset of depth maps and stereo images that exemplifies the issue of surface discontinuity in the urban areas of Klang Valley, Malaysia. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. This dataset contains wearable fitness and biometric data, modeled on devices like the Apple Watch. Sep 13, 2018 · WESAD is a publicly available dataset for wearable stress and affect detection. Data used in the related research article [1] are stored in a spreadsheet at DataverseNO [2]. Therefore, we present a dataset that captures complete . kpx eid gcz yvr mzw qvx lfv vov czs xoi ruz pkx izu uho ufi