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Cameras on boats to go live - but not for the whole fleet

Cameras on boats to go live - but not for the whole fleet
stuff.co.nz - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from stuff.co.nz Daily Mail and Mail on Sunday newspapers.

North Island , New Zealand General , New Zealand , South Island , Ministry For Primary Industries , Fisheries Minister Rachel Brooking , Activity Recognition , Primary Industries , Official Information Act , Fisheries New Zealand ,

Supercomputing Challenge Announces State Winners Including Daniel Kim Of Los Alamos High School

Supercomputing Challenge Announces State Winners Including Daniel Kim Of Los Alamos High School
ladailypost.com - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from ladailypost.com Daily Mail and Mail on Sunday newspapers.

Los Alamos , New Mexico , United States , Los Alamos National Laboratory , Sandia High School , Bradbury Science Museum , Los Alamos High School , La Cueva High School , Daniel Kim , Michela Ombelli , Aiden Shoppel , Amandeep Prasankumar , Abitpal Gywali , Tristan Eggenberger , Aditya Koushik , David Kratzer , Bradley Knockel , Jeremy Jensen , Cueva High School , Behavioral Health , Team Member , Team Members , Challenge News , Supercomputing Challenge , Computer Science , Behavioral Health Issues ,

Snapdragon 8 Gen 2, Qualcomm's Flagship SoC: Everything You Need To Know

At the Snapdragon Summit, Chris Patrick, SVP and GM, Mobile Handset, Qualcomm, unveiled the Snapdragon 8 Gen 2, Qualcomm’s flagship SoC for. ....

Dave Durnil , Francisco Cheng , Sarah Mcmurray , Chris Patrick , Video Industry Alliance , Snapdragon Summit , Mobile Handset , Sensing Hub , Senior Managing Director , Product Marketing , Micro Tile Inferencing , Floating Point , Always On Camera , Always Sensing , Activity Recognition , Voice Activation , Direct Link , Hexagon Direct Link , Multiple Semantic Segmentation , Realtime Segmentation Filter , Snapdragon Elite , Industry Alliance , Dolby Vision , Unreal Engine , Global Head , Snapdragon Studios ,

Konica Minolta Wins the MIRU Interactive Presentation Award for Two AI Technologies Related to Human Behavior Zero-shot Abnormal Behavior Recognition and Fast and High-accuracy Human Behavior Recognition

Konica Minolta Wins the MIRU Interactive Presentation Award for Two AI Technologies Related to Human Behavior. ....

Taiki Sekii , Ryo Hachiuma , Fumiaki Sato , Information Processing Society Of Japan , Interest Group On Computer Vision , Details Of Research , Development Center , Institute Of Electronics , Technical Committee On Pattern Recognition , Technology Development Headquarters , Konica Minolta , Konica Minolta Inc , Groovex Inc , Ai Technology Development Division , Presentation Award , Image Recognition , Technical Committee , Pattern Recognition , Media Understanding , Communication Engineers , Special Interest Group , Computer Vision , Image Media , Information Processing Society , Award Winning Themes , Development Division ,

"A single smartwatch-based segmentation approach in human activity reco" by Yande Li, Lulan Yu et al.

The development of smart wearable devices has driven the rapid progress of activity recognition. However, existing activity recognition methods are still struggling to recognize single arm swings due to coarse-grained sensor data segmentation. Refined arm-swing-wise data segmentation is vital in some specific cases, such as the rehabilitation of disabled patients. In this paper, we propose a smartwatch-based arm-swing-wise data segmentation approach for human activity recognition, which converts original sensor signals into square-wave signals to detect the cut-off points of each arm swing. Particularly, our method can adaptively adjust the window size and step size of a sliding window without considering the change of swing speed. Empirical evaluation on two datasets, a self-collected dataset and a publicly-available benchmark dataset, shows superior performance of our approach over other methods under different settings, such as classifiers, features, and wearing positions. ....

Activity Recognition , Data Segmentation ,