Results 111 to 120 of about 14,331,929 (193)

Impact of Gyroscope Integration, Sensor Placement, and Activity Granularity on Human Activity Recognition Performance. [PDF]

Sensors (Basel)
Castellanos A, López AM, Salinas MÁ, Álvarez JC, Álvarez D, García G, Buendía-Romero Á, Mañas A, Bailón R, Martín V, Carbonell-Baeza A, Cabanas-Sánchez V, Martinez-Gomez D.   +12 more
europepmc   +1 more source

DSHformer: Locality-Sensitive Hash Attention and Prototype Alignment for Sensor-Based Human Activity Recognition. [PDF]

Sensors (Basel)
Zhang X, Ding M, Teng T, Wan J, Ding H.
europepmc   +1 more source

Privacy-Preserving Ambient Sensing for Activities of Daily Living: Multimodal Radar-Thermal Human Activity Recognition and Smart Plug Appliance Recognition. [PDF]

Sensors (Basel)
Mohammed B, Bird JJ, Ihianle IK, Harris M, Archenhold G, Xing Y.   +5 more
europepmc   +1 more source

Efficient uncertainty aware human activity recognition on microcontrollers using hyperdimensional computing and conformal prediction. [PDF]

Sci Rep
Lamaakal I, Yahyati C, Maleh Y, El Makkaoui K, Ouahbi I.   +4 more
europepmc   +1 more source

A Camera-Based Visual Sensor Pipeline for Fine-Grained Human Activity Recognition in Classroom Scenes. [PDF]

Sensors (Basel)
Sun C, Wu D, Wu Z, Zhou W, Zhang J.
europepmc   +1 more source

Human Activity Recognition Dataset for Pedestrians with Mobility Disabilities. [PDF]

Sci Data
Woo Y, Hwang S, Oh S, Kang M, Lee S, Kim J, Cha J, Kim KK.   +7 more
europepmc   +1 more source

A Lightweight Radar-Camera Fusion Deep Learning Model for Human Activity Recognition. [PDF]

Sensors (Basel)
Jeon M, Woo S.
europepmc   +1 more source

FedSynHAR: a framework based on feature-enhanced adaptive pruning-mutual distillation for federated human activity recognition. [PDF]

Sci Rep
Wang C, Fan R.
europepmc   +1 more source

ASSAFormer: a sensor data-based approach to human activity recognition. [PDF]

Sci Rep
Zeng J, Peng B, Chen C.
europepmc   +1 more source

Sensor-Modality-Aware Human Activity Recognition with the Convolutional Tsetlin Machine: Interpretable and Resource-Efficient Neuro-Symbolic Learning. [PDF]

Sensors (Basel)
Tarasyuk O, Gorbenko A, Gordieiev O, Akulynichev A, Shafik R, Yakovlev A.   +5 more
europepmc   +1 more source