Titlebook: Human Activity Sensing; Corpus and Applicati Nobuo Kawaguchi,Nobuhiko Nishio,Kristof Van Laerho Book 2019 Springer Nature Switzerland AG 20

万灵丹

ILEUM

Identifying Sensors via Statistical Analysis of Body-Worn Inertial Sensor Datairing as the only assumption that the sampling rate and sample format are known, and the fact that that acceleration and magnetometer data is present in the dataset. With those assumption in place, we found that . of all 1003 data points were successfully classified.

nerve-sparing

炼油厂

Drinking Gesture Recognition from Poorly Annotated Data: A Case Studyunsupervised approach which can perform drinking gesture recognition by combining K-Means clustering with WLCSS. Experimental results verify the effectiveness of the proposed method, with an improvement of the F1 score by 16% compared to standard K-Means using Euclidean distance.

INCH

Understanding How Non-experts Collect and Annotate Activity Dataexamples. Non-expert users were able to collect video and sensor data and then quickly and accurately label example events using the video and sensor data together. We include 3 example systems based on event recognizers that were trained from examples labeled using this process.

Pde5-Inhibitors

吗啡