Sökning: "DeepConvLSTM"

Hittade 2 uppsatser innehållade ordet DeepConvLSTM.

1. 1. Study of Semi-supervised Deep Learning Methods on Human Activity Recognition Tasks

   Master-uppsats, KTH/Robotik, perception och lärande, RPL

   Författare :Shiping Song; [2019]
   Nyckelord :Semi-supervised learning; Sequence learning; Human activity recognization; DeepConvLSTM; Seq2seq model;

   Sammanfattning : This project focuses on semi-supervised human activity recognition (HAR) tasks, in which the inputs are partly labeled time series data acquired from sensors such as accelerometer data, and the outputs are predefined human activities. Most state-of-the-art existing work in HAR area is supervised now, which relies on fully labeled datasets. LÄS MER

3. 2. DeepConvLSTM on single accelerometer locomotion recognition

   Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Henrik Sjöström; [2017]
   Nyckelord :;

   Sammanfattning : This project aims to evaluate the deep neural network architecture Deep-ConvLSTM to classify locomotive human activities using data from a single accelerometer. The evaluation involves comparisons to a simpler convolutional neural network and a hyperparameter evaluation in regards to the networks number of convolutional layers. LÄS MER