Results 121 to 130 of about 14,331,929 (193)

Human Activity Recognition in Domestic Settings Based on Optical Techniques and Ensemble Models. [PDF]

Sensors (Basel)
Raza MA, Mehmood N, Siddiqui HUR, Saleem AA, Alvarez RM, Vera YAM, Díez IT.   +6 more
europepmc   +1 more source

Lightweight FMCW radar framework for human activity recognition under limited data conditions. [PDF]

Sci Rep
Fard AS, Mashhadigholamali M, Zolfaghari S, Abedi H, Chakraborty M, Borzì L, Daneshtalab M, Shaker G.   +7 more
europepmc   +1 more source

Unobtrusive Human Activity Recognition Using Multivariate Indoor Air Quality Sensing and Hierarchical Event Detection. [PDF]

Sensors (Basel)
Protopsaltis G, Mountzouris C, Theodorou G, Gialelis J.   +3 more
europepmc   +1 more source

Hybrid YOLO-Inception-ResNetV2 Pipeline for Automated Human Activity Recognition in Controlled Environments. [PDF]

Cureus
Mandadapu P.
europepmc   +1 more source

InclusiveHAR: A smartphone-based dataset for human activity recognition across diverse physical abilities. [PDF]

Data Brief
Kamel Tabbakh SR, Naeimi I, Naghavi K, Majidi Nasab F, Ghaffarian M, Nobahari V, Sharifi Moghaddam Kakhki MS, Farrahi Farimani H, Rouhparvar S.   +8 more
europepmc   +1 more source

RadarSSM: A Lightweight Spatiotemporal State Space Network for Efficient Radar-Based Human Activity Recognition. [PDF]

Sensors (Basel)
Zhao R, Miao F, Liu Y.
europepmc   +1 more source

DeM-FCN: an ultra-lightweight and purely convolutional framework for edge-native human activity recognition in wearable fitness tracking. [PDF]

Front Sports Act Living
Xu Y, Li J, Huang Z, Cheng T, Chen C, Tan B, Tan Z, Chen H, Zhou Y.   +8 more
europepmc   +1 more source

Agile human activity recognition for wearable devices based on online incremental learning. [PDF]

Front Public Health
Fan L, Peng H, Xiao L, Shi L, Zhou S, Song Y, Fan H.   +6 more
europepmc   +1 more source

Self-Powered Flexible Triboelectric-Gated Ion-Gel Transistor for Neuromorphic Tactile Sensing and Human Activity Recognition. [PDF]

Adv Mater
Cho H, Park S, Lee Y, Lee S.
europepmc   +1 more source

Integrating multi-scale convolution and attention mechanisms in HybridHAR for high-performance human activity recognition. [PDF]

Sci Rep
Huo Y, Wei C, Xu Z, Liu Z, Jin M, Zhang Z.   +5 more
europepmc   +1 more source