Matches in SemOpenAlex for { <https://semopenalex.org/work/W4207072178> ?p ?o ?g. }
Showing items 1 to 65 of
65
with 100 items per page.
- W4207072178 abstract "Abstract Accurate sensing and understanding of gestures can improve the quality of human-computer interaction, and has great theoretical significance and application potentials in the fields of smart home, assisted medical care, and virtual reality. Device-free wireless gesture recognition based on WiFi Channel State Information (CSI) requires no sensors, and has a series of advantages such as permission for non-line-of-sight scenario, low cost, preserving for personal privacy and working in the dark night. Although most of the current gesture recognition approaches based on WiFi CSI have achieved good performance, they are difficult to adapt to the new domains. Therefore, this paper proposes ML-WiGR, an approach for device-free gesture recognition in cross-domain applications. ML-WiGR applies convolutional neural networks (CNN) and long short-term memory (LSTM) neural networks as the basic model for gesture recognition to extract spatial and temporal features. Combined with the meta learning training mechanism, the approach dynamically adjusts the learning rate and meta learning rate in training process adaptively, and optimizes the initial parameters of a basic model for gesture recognition, only using a few samples and several iterations to adapt to new domain. In the experiments, we validate the approach under a variety of scenarios. The results show that ML-WiGR can achieve comparable performance against existing approaches with only a small number of samples for training in cross domains." @default.
- W4207072178 created "2022-01-26" @default.
- W4207072178 creator A5006957309 @default.
- W4207072178 creator A5018726605 @default.
- W4207072178 creator A5049156680 @default.
- W4207072178 date "2021-10-28" @default.
- W4207072178 modified "2023-09-28" @default.
- W4207072178 title "ML-WiGR: A Meta Learning based Approach for Cross-Domain Device-Free Gesture Recognition" @default.
- W4207072178 doi "https://doi.org/10.21203/rs.3.rs-918920/v1" @default.
- W4207072178 hasPublicationYear "2021" @default.
- W4207072178 type Work @default.
- W4207072178 citedByCount "0" @default.
- W4207072178 crossrefType "posted-content" @default.
- W4207072178 hasAuthorship W4207072178A5006957309 @default.
- W4207072178 hasAuthorship W4207072178A5018726605 @default.
- W4207072178 hasAuthorship W4207072178A5049156680 @default.
- W4207072178 hasBestOaLocation W42070721781 @default.
- W4207072178 hasConcept C107457646 @default.
- W4207072178 hasConcept C111919701 @default.
- W4207072178 hasConcept C119857082 @default.
- W4207072178 hasConcept C134306372 @default.
- W4207072178 hasConcept C154945302 @default.
- W4207072178 hasConcept C159437735 @default.
- W4207072178 hasConcept C17744445 @default.
- W4207072178 hasConcept C199539241 @default.
- W4207072178 hasConcept C207347870 @default.
- W4207072178 hasConcept C2779089604 @default.
- W4207072178 hasConcept C28490314 @default.
- W4207072178 hasConcept C33923547 @default.
- W4207072178 hasConcept C36503486 @default.
- W4207072178 hasConcept C41008148 @default.
- W4207072178 hasConcept C81363708 @default.
- W4207072178 hasConcept C98045186 @default.
- W4207072178 hasConceptScore W4207072178C107457646 @default.
- W4207072178 hasConceptScore W4207072178C111919701 @default.
- W4207072178 hasConceptScore W4207072178C119857082 @default.
- W4207072178 hasConceptScore W4207072178C134306372 @default.
- W4207072178 hasConceptScore W4207072178C154945302 @default.
- W4207072178 hasConceptScore W4207072178C159437735 @default.
- W4207072178 hasConceptScore W4207072178C17744445 @default.
- W4207072178 hasConceptScore W4207072178C199539241 @default.
- W4207072178 hasConceptScore W4207072178C207347870 @default.
- W4207072178 hasConceptScore W4207072178C2779089604 @default.
- W4207072178 hasConceptScore W4207072178C28490314 @default.
- W4207072178 hasConceptScore W4207072178C33923547 @default.
- W4207072178 hasConceptScore W4207072178C36503486 @default.
- W4207072178 hasConceptScore W4207072178C41008148 @default.
- W4207072178 hasConceptScore W4207072178C81363708 @default.
- W4207072178 hasConceptScore W4207072178C98045186 @default.
- W4207072178 hasLocation W42070721781 @default.
- W4207072178 hasOpenAccess W4207072178 @default.
- W4207072178 hasPrimaryLocation W42070721781 @default.
- W4207072178 hasRelatedWork W1974238679 @default.
- W4207072178 hasRelatedWork W2903018492 @default.
- W4207072178 hasRelatedWork W2973305447 @default.
- W4207072178 hasRelatedWork W3088042986 @default.
- W4207072178 hasRelatedWork W3164117247 @default.
- W4207072178 hasRelatedWork W3181098240 @default.
- W4207072178 hasRelatedWork W4287776258 @default.
- W4207072178 hasRelatedWork W4312385720 @default.
- W4207072178 hasRelatedWork W645271050 @default.
- W4207072178 hasRelatedWork W2187794806 @default.
- W4207072178 isParatext "false" @default.
- W4207072178 isRetracted "false" @default.
- W4207072178 workType "article" @default.