遇见数据集

QValiData Experiment Data

收藏
Zenodo2021-03-04 更新2026-05-25 收录
数据链接:
官方服务:

资源简介:

Data set for validation experiments performed using the newly-developed QValiData video validation and simulation software. This archive contains: Data sets for all five video validation trials R scripts for generating figures used in the manuscript Final results, organized in CSV form Directory Structure: <strong>experiment-data</strong> <strong>test*</strong> Contains QValiData configuration file, activity logger data, and video recordings for all tests involved in the experiment <strong>post-process</strong> <strong>data</strong>: Contains data files describing activity detector performance. Each file name is given in the following format: <strong>[bit|val]_halfsecond_[nowakeup|wakeup|]_[trial_number]_[activeevents|videoevents]</strong> <strong>[bit|val]</strong> <strong>bit</strong>: Data set uses "Bit Tag" activity detection parameters, developed prior to the implementation of the new methodology. <strong>val</strong>: Data set uses parameters found experimentally using simulation-based validation. <strong>halfsecond</strong>: The "ground-truth" data set used (list of events classified as "active" by video) was trimmed to only include events lasting half a second or longer (15 or more frames of video) <strong>[nowakeup|wakeup]</strong> <strong>nowakeup</strong>: ADXL362 low-power activity wakeup mode was not used for this trial. <strong>wakeup</strong>: wakeup mode was used for this trial. <strong>[trial_number]</strong>: A number in the range 1-5 indicating which data set the results came from <strong>[activeevents|videoevents]</strong> <strong>activeevents</strong>: The file contains a list of all events detected by the simulated activity detector. Each row contains a number indicating the length of each event (in seconds) and a TRUE/FALSE value that is TRUE only if the event contains at least one sample that was also marked as "active" by video analysis. <strong>videoevents</strong>: The file contains a list of all events detected by video analysis. Each row contains a number indicating the length of each event (in seconds) and another number indicating the percentage of each trial that was also marked as "active" by the simulated activity detector. <strong>correctevents.R</strong>: Plots histograms of events detected via video analysis that were also detected by simulated activity detection using each set of activity detection parameters. <strong>falsepositives.R</strong>: Plots histograms of events detected via simulated activity detection, but were not detected by video analysis, which reveals the occurrence of false-positive classifications. <strong>post-process.Rproj</strong>: R project file for both R scripts. <strong>QValiData-Parameters.csv</strong>: Contains all activity detection parameters used for the five trials. <strong>QValiData-Results.csv</strong>: Contains simulation performance metrics for all five trials. This material is based upon work supported by the National Science Foundation under Grant No. 1644717.

提供机构:
Zenodo
创建时间:
2020-10-11
二维码
社区交流群
二维码
科研交流群
商业服务