AQA-7
Consists of 1106 action samples from seven actions with quality scores as measured by expert human judges. Source: Action Quality Assessment Across Multiple Actions
Papers with Code 아카이브
Skills Assessment
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
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- 평가표
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- 보존된 평가 기록
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데이터셋
출처에 같은 태스크 이름으로 연결된 데이터셋입니다. 동명 태스크가 포함될 수 있으므로, 비교할 때는 평가 결과의 조건도 확인하세요.
eSports Sensors Dataset
The eSports Sensors dataset contains sensor data collected from 10 players in 22 matches in League of Legends. The sensor data collected includes: * Hand/head/chair movements. * Heart rate. * Muscle activity. * Gaze movement on the monitor. * Galvanic skin response(GSR). * Electroencephalography (EEG). * Mouse and keyboard activity. * Facial skin temperature. * Environmental data. The data were collected for one team of 5 people simultaneously. In-game logs and meta information for each match are also provided for each match. Source: https://github.com/smerdov/eSports_Sensors_Dataset
Multimodal PISA
Dataset for multimodal skills assessment focusing on assessing piano player’s skill level. Annotations include player's skills level, and song difficulty level. Bounding box annotations around pianists' hands are also provided.
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.