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The proposed transformer model.

The proposed transformer model.

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Human Activity Recognition (HAR) has been a challenging problem yet it needs to be solved. It will mainly be used for eldercare and healthcare as an assistive technology when ensemble with other technologies like Internet of Things(IoT). HAR can be achieved with the help of sensors, smartphones or images. Deep neural network techniques like artific...

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... designed a novel lightweight transformer, as shown in Figure 3. From bottom to top, the first layer inputs the raw human activity data after preprocessing it into certain sized window (as discussed earlier). ...

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Smartphones are among the most popular wearable devices to monitor human activities. Several existing methods for Human Activity Recognition (HAR) using data from smartphones are based on conventional pattern recognition techniques, but they generate handcrafted feature vectors. This drawback is overcome by deep learning techniques which unfortunat...