Tao Dong

Biomedical Engineering · Pharmaceutics · 2017–2021

A researcher in the Science corpus: 4 papers; trusts 16 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tao Dong trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Douglas A. Reynolds
  2. Rainer Mautz
  3. Ling Bao
  4. Xiaofeng Ren
  5. Oscar D. Lara
  6. Daniele Riboni

Papers from Tao Dong's perspective

Ordered by how strongly the researchers Tao Dong trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Activity Recognition from User-Annotated Acceleration Data
  2. A Hybrid Discriminative/Generative Approach for Modeling Human Activities (International Joint Conference on Artificial Intelligence)
  3. Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
  4. Activity recognition using cell phone accelerometers (SKDD)
  5. Activity recognition and monitoring using multiple sensors on different body positions (International Conference on Wearable and Implantable Body Sensor Networks)
  6. A Survey on Human Activity Recognition using Wearable Sensors (IEEE Communications Surveys and Tutorials)
  7. Activity classification using realistic data from wearable sensors (IEEE Transactions on Information Technology in Biomedicine)
  8. Efficient model-based 3D tracking of hand articulations using Kinect
  9. Fusion of Smartphone Motion Sensors for Physical Activity Recognition (Italian National Conference on Sensors)
  10. COSAR: hybrid reasoning for context-aware activity recognition (Personal and Ubiquitous Computing)

Their papers