[{"@type":"PropertyValue","name":"Data size","value":"558,870 videos, 219,660 videos were collected by laptop, 339,210 videos were collected by cellphone or iPad"},{"@type":"PropertyValue","name":"Population distribution","value":"Asian, the gender distribution is male and female, the age distribution is under 18 years old, 18-40 years old, and over 40 years old"},{"@type":"PropertyValue","name":"Collection environment","value":"including indoor scenes and outdoor scenes (natural scenery, street view, square, etc.)"},{"@type":"PropertyValue","name":"Data diversity","value":"including multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances"},{"@type":"PropertyValue","name":"Device","value":"cellphone, iPad, laptop"},{"@type":"PropertyValue","name":"Collecting angle","value":"front, left, right, up and down"},{"@type":"PropertyValue","name":"Collecting distance","value":"0.3m, 0.6m, 1m, 2m, 3m"},{"@type":"PropertyValue","name":"Data format","value":"the video data format is .mp4, .mov, .wmv"},{"@type":"PropertyValue","name":"Collecting content","value":"dynamic gestures of the left and right hand were collected at 5 photographic angles respectively"},{"@type":"PropertyValue","name":"Accuracy","value":"based on the accuracy of the gesture actions, the accuracy exceeds 97%; the accuracy of the video naming exceeds 97%; the accuracy of labels annotation is not less than 97%"}]
{"id":972,"datatype":"1","titleimg":"https://res.datatang.com/asset/productNew/datatang-image/APY190430002.png?Expires=2008138889&OSSAccessKeyId=LTAI5tQwXnJZbubgVfVa1ep9&Signature=JmF9sArrXzGGgZ6osFtSHAk8vfc%3D","type1":"147","type1str":null,"type2":"147","type2str":null,"dataname":"558,870 Videos - 50 Types of Dynamic Gesture Recognition Data","datazy":[{"title":"Data size","value":"558,870 videos, 219,660 videos were collected by laptop, 339,210 videos were collected by cellphone or iPad"},{"title":"Population distribution","value":"Asian, the gender distribution is male and female, the age distribution is under 18 years old, 18-40 years old, and over 40 years old"},{"title":"Collection environment","value":"including indoor scenes and outdoor scenes (natural scenery, street view, square, etc.)"},{"title":"Data diversity","value":"including multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances"},{"title":"Device","value":"cellphone, iPad, laptop"},{"title":"Collecting angle","value":"front, left, right, up and down"},{"title":"Collecting distance","value":"0.3m, 0.6m, 1m, 2m, 3m"},{"title":"Data format","value":"the video data format is .mp4, .mov, .wmv"},{"title":"Collecting content","value":"dynamic gestures of the left and right hand were collected at 5 photographic angles respectively"},{"title":"Accuracy","value":"based on the accuracy of the gesture actions, the accuracy exceeds 97%; the accuracy of the video naming exceeds 97%; the accuracy of labels annotation is not less than 97%"}],"datatag":"Multiple scenes,50 types of dynamic gestures,5 photographic angles,Multiple light conditions,Different photographic distances","technologydoc":null,"downurl":null,"datainfo":"1,000 People 50 Control Gestures Data. The collection scene includes indoor and outdoor. The data covers male and female, age distribution is from juvenile to the elder, main juvenile and youth. It includes multiple scenes, angels, changes in left and right gestures, front and back, rotational etc. The data can be applied to smart home, audio equipment, and vehicle system etc.","standard":null,"dataylurl":null,"flag":null,"publishtime":null,"createby":null,"createtime":null,"ext1":null,"samplestoreloc":null,"hosturl":null,"datasize":null,"industryPlan":null,"keyInformation":["558,870 videos","5 angles","multiple scenes, multiple light conditions"],"samplePresentation":["mp4",""],"officialSummary":"558,870 Videos - 50 Types of Dynamic Gesture Recognition Data. The collecting scenes of this dataset include indoor scenes and outdoor scenes (natural scenery, street view, square, etc.). The data covers males and females. The age distribution ranges from teenager to senior. The data diversity includes multiple scenes, 50 types of dynamic gestures, 5 photographic angles, multiple light conditions, different photographic distances. This data can be used for dynamic gesture recognition of smart homes, audio equipments and on-board systems.","dataexampl":"","datakeyword":"Vehicle dynamic gesture data, home gesture data, gesture recognition data, 21 key point gesture image data, static gesture data, dynamic gesture data, key point dataset, key point annotation, gesture key point dataset","isDelete":null,"ids":null,"idsList":null,"datasetCode":null,"productStatus":null,"tagTypeEn":"Task Type,Modalities","tagTypeZh":null,"website":null,"samplePresentationList":null,"datazyList":null,"keyInformationList":null,"dataexamplList":null,"bgimg":null,"datazyScriptList":null,"datakeywordListString":null,"sourceShowPage":"computer","BGimg":"","voiceBg":["/shujutang/static/image/comm/audio_bg.png","/shujutang/static/image/comm/audio_bg2.png","/shujutang/static/image/comm/audio_bg3.png","/shujutang/static/image/comm/audio_bg4.png","/shujutang/static/image/comm/audio_bg5.png"],"single":"yes"}
[{"@type":"VideoObject","embedUrl":"p"},{"@type":"VideoObject"}]