Fall detection and recognition from egocentric visual data: A case study
<|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:'This data set contains egocentric videos from two cameras attached to the waist and chest of one volunteer. The contents of the videos contain indoor and outdoor scenes and do not contain people. The data set was to for evaluation of a novel fall detection system using ego centric visual data' . 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" : ["Egocentric vision","Fall detection","Fall recognition","Health monitoring","Wearable camera","Well being"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This data set contains egocentric videos from two cameras attached to the waist and chest of one volunteer. The contents of the videos contain indoor and outdoor scenes and do not contain people. The data set was to for evaluation of a novel fall detection system using ego centric visual data' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This data set contains egocentric videos from two cameras attached to the waist and chest of one volunteer. The contents of the videos contain indoor and outdoor scenes and do not contain people. The data set was to for evaluation of a novel fall detection system using ego centric visual data
Egocentric vision; Fall detection; Fall recognition; Health monitoring; Wearable camera; Well being