Deep Learning Models for Real-time Human Activity Recognition with Smartphones

By Shaohua Wan, Lianyong Qi, Xiaolong Xu, Chao Tong, Zonghua Gu. Journal on spesial topics in mobile networks and applications, 2019

523 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computer Vision and Pattern Recognition, General Health Professions

View Paper: https://www.semanticscholar.org/paper/480eee0b31193e6bddda655aeebf619c11027d62

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Thinagaran Perumal
2. S. Padmavathi
3. Elangovan Ramanujam

In Computer Vision and Pattern Recognition

1. Thinagaran Perumal
2. S. Padmavathi
3. Elangovan Ramanujam

Citations in the corpus

• Human Activity Recognition With Smartphone and Wearable Sensors Using Deep Learning Techniques: A Review (2021, methodology): “To reduce the cost of energy consumption and hardware facilities, [36] has designed a CNN model for local feature extraction from the three-axis accelerometer signal of a smartphone.”