Mobile sensor dataset. All data collected in 50Hz sample rate.

Mobile sensor dataset Sep 18, 2022 · For small air vehicles, there are few datasets, and MAV Dataset [4] is one of them. Human Activity and Attribute Recognition: Phone Accelerometer and Gyroscope Mar 4, 2025 · Outliers in smartphone sensor data reveal outliers in daily happiness. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. This project will list the publicly available datasets in IoT domain and other resources that are required to do research in IoT domain - mnsalim/IoT-Related-Dataset-and-Resources - Intel Berkeley Research Lab Sensors: Data collected from 54 sensors deployed in the Intel Berkeley Research lab - Gas Sensor Array Drift Dataset: This archive contains 13910 measurements from 16 chemical sensors utilized in simulations for drift compensation in a discrimination task of 6 gases at various levels of concentrations. It provides a rich collection of time-aligned sensor and video data for analysis and benchmarking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 5, 1 (2021), 1--19. , smartphones and smartwatches, is key for various applications, from enhancing the user experience in mobile apps to enabling appropriate interventions in digital health apps. Apr 15, 2019 · Request PDF | On Apr 15, 2019, Mohammad Malekzadeh and others published Mobile sensor data anonymization | Find, read and cite all the research you need on ResearchGate Ethical Mobile and Sensor Data CrowdSignals. All data collected in 50Hz sample rate. g. Extract the zip file to gain access to folders for all the daily activities. Repository of robotics and computer vision datasets What’s this? Below you can find a large collection of robotic datasets from various mobile robots, vehicles, or just handheld sensors. Available datasets include sensors from 2D laser scanners up to RTK GPS, stereo cameras or 3D ToF cameras. This data set was collected from the sensor array installed on the “Pelican” quadrotor platform in an environment. ContextLabeler dataset: Physical and virtual sensors data collected from smartphone usage in-the-wild. Download samples, request commercial licensing or subscribe for real-time feeds. The data collected in the lab consists of data collection trials divided in two sessions, spaced by about one-week on average. Feb 5, 2025 · Understanding everyday life behavior of young adults through personal devices, e. The dataset includes anonymized and precision-timestamped multi-modal sensor and object data in high resolution, covering a variety of traffic situations. Towards this goal, previous studies have relied on datasets combining passive sensor data with human-provided annotations or self SensorDatasets — Ready-to-use, verified sensor datasets. It reflects the state of the paper for reproducibility and is About Dataset The master zip file for the data from the mobile sensor includes 13 cases that were recorded with three readings. Sep 12, 2024 · The dataset includes sensor data such as accelerometer and gyroscope readings with timestamps. Many mobile devices do include sensors and hence can be used for other applications rather than mobile gaming. This is the supporting website for the paper "Time Series Segmentation Applied to a New Data Set for Mobile Sensing of Human Activities". It contains the used source codes, the MOSAD data set, raw results, and analysis notebooks. io will create the largest set of rich, longitudinal mobile and sensor data recorded from smartphones and smartwatches available to the community. Mattia Giovanni Campana and Franca Delmastro. 2021. The sensor suite includes a forward-facing camera, a downward-facing camera, an inertial measurement unit, and a Vicon ground-tracking system. The CASTLE dataset is a large-scale, multimodal dataset designed for advancing research in lifelogging, human activity recognition, and multimodal retrieval. The data . It is collected with an iPhone 6s kept in the participant's front pocket using SensingKit which collects information from Core Motion framework on iOS devices. The dataset will include geo-location, sensor, system and network logs, user interactions, social connections, and communications as well as user-provided ground truth labels and survey feedback. File formats? mobile deep-learning time-series sensor gyroscope har activity-recognition dataset accelerometer autoencoder smartphone deeplearning convolutional-neural-networks human-activity-recognition sensor-data acclerometer mobile-sensing sensors-data-collection motionsensor motionsense-dataset Updated on Oct 19, 2021 Jupyter Notebook Mobile Sensor Dataset for Human Activity Classification used in Forensics Roughly 16 million mobile devices are available with the majority of the population worldwide and this number going to increase exponentially. This dataset includes time-series data generated by accelerometer and gyroscope sensors (attitude, gravity, userAcceleration, and rotationRate). Apr 13, 2022 · Towards this endeavour, we present the A9-Dataset based on roadside sensor infrastructure from the 3 km long Providentia++ test field near Munich in Germany. A total of 24 participants in a range of gender The dataset includes occasional measurements from sensors that we did not yet utilize in our experiments, including magnetometer, ambient light, air pressure, humidity, temperature, and watch-compass. Aug 13, 2025 · To change the status quo, a multimodal sensor dataset from a vehicle-mounted mobile mapping system for comprehensive urban scenes (MSD-VMMS-HK) is provided. fnqxlm jajtrlo ilgep cyyu owt lncqmj jbw euool fnovv xqupx fdds umaqb vvlpc atved advwp