Quiz on Human Activity Recognition Using Deep Learning

Quiz on Human Activity Recognition Using Deep Learning

University

15 Qs

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Quiz on Human Activity Recognition Using Deep Learning

Quiz on Human Activity Recognition Using Deep Learning

Assessment

Quiz

Mathematics

University

Hard

Created by

Diptee Chikmurge

Used 1+ times

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15 questions

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1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the main focus of the proposed framework in the paper?

Speech recognition

Natural language processing

Human activity recognition

Image recognition

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which type of neural network is primarily used in the proposed model?

Recurrent Neural Network (RNN)

Convolutional Neural Network (CNN)

Generative Adversarial Network (GAN)

Radial Basis Function Network (RBFN)

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What mechanism is incorporated into the CNN model to enhance feature representation?

Dropout mechanism

Attention mechanism

Pooling mechanism

Normalization mechanism

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What type of data is primarily used for human activity recognition in this study?

Text data

Image data

Sensor data

Audio data

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which datasets were used to evaluate the proposed model?

Fashion-MNIST and SVHN

MNIST and CIFAR-10

WISDM and UCI HAR

ImageNet and COCO

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the squeeze-and-excitation module in the model?

To reduce the number of parameters

To improve training speed

To enhance feature recalibration

To increase the model's depth

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a significant challenge faced by the HAR community mentioned in the paper?

Scarcity of labeled training samples

Simplicity of feature extraction

High availability of labeled data

Low computational cost

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