Sensor-Modality-Aware Human Activity Recognition with the Convolutional Tsetlin Machine: Interpretable and Resource-Efficient Neuro-Symbolic Learning
Olga Tarasyuk, Anatoliy Gorbenko, Oleksandr Gordieiev, Artem Akulynichev, Rishad Shafik, Alex Yakovlev
Human activity recognition (HAR) based on smartphone and wearable sensor data is commonly addressed using statistical learning methods and deep neural networks that often provide strong predictive performance, but at the expense of limited interpretability and substantial computa…