MeganePro dataset 1 (MDS1)
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:' General Information  The dataset contains the data of the static and dynamic grasping tasks (Exercise 1) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project. The data were collected with the aim of improving the robustness of multi-degree of freedom prosthetic hands through the integration of surface electromyography (sEMG), accelerometer, gaze and scene camera video.    Acquisition Protocol    Static movement     Dynamic movement     Data Information   Data type    Surface electromyography (sEMG)   Accelerometry   Gaze   Video in first person of the scene    Data format   ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["Electromyography","Eye-hand coordination","Eye tracking","Gaze","Myoelectric prosthesis"]} <|eot_id|>
 Here is the Description of a dataset. Description:' General Information  The dataset contains the data of the static and dynamic grasping tasks (Exercise 1) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project. The data were collected with the aim of improving the robustness of multi-degree of freedom prosthetic hands through the integration of surface electromyography (sEMG), accelerometer, gaze and scene camera video.    Acquisition Protocol    Static movement     Dynamic movement     Data Information   Data type    Surface electromyography (sEMG)   Accelerometry   Gaze   Video in first person of the scene    Data format   ' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
 General Information  The dataset contains the data of the static and dynamic grasping tasks (Exercise 1) acquired during the Myo-Electricity, Gaze And Artificial-intelligence for Neurocognitive Examination & Prosthetics (MeganePro) project. The data were collected with the aim of improving the robustness of multi-degree of freedom prosthetic hands through the integration of surface electromyography (sEMG), accelerometer, gaze and scene camera video.    Acquisition Protocol    Static movement     Dynamic movement     Data Information   Data type    Surface electromyography (sEMG)   Accelerometry   Gaze   Video in first person of the scene    Data format   
Electromyography; Eye-hand coordination; Eye tracking; Gaze; Myoelectric prosthesis