Samer Mohammed
Biomedical Engineering · 2015–2016
A researcher in the Science corpus: 2 papers; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Biomedical Engineering — 33 citations into it
- Artificial Intelligence — 9 citations into it
- Rehabilitation — 7 citations into it
Whom Samer Mohammed trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Hiroaki Kawamoto
- Vladimir Naumovich Vapni
- Yoshiyuki Sankai
- Lawrence R. Rabiner
- R. Golden
- Bijan Najafi
- Kerem Altun
- Huan Liu
- Andrea Mannini
- Jhun-Ying Yang
Who trusts Samer Mohammed overall
Papers from Samer Mohammed's perspective
Ordered by how strongly the researchers Samer Mohammed trusts endorse each paper. Same corpus, a different order for every researcher.
- Activity Recognition from User-Annotated Acceleration Data
- Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
- Classification of basic daily movements using a triaxial accelerometer (Medical and Biological Engineering and Computing)
- Power Assist System HAL-3 for Gait Disorder Person (International Conference on Computers for Handicapped Persons)
- Power assist method based on Phase Sequence and muscle force condition for HAL (Adv. Robotics)
- The Nature of Statistical Learning Theory
- Ambulatory system for human motion analysis using a kinematic sensor: monitoring of daily physical activity in the elderly (IEEE Transactions on Biomedical Engineering)
- Activity Recognition from Accelerometer Data (AAAI Conference on Artificial Intelligence)
- Activity classification using realistic data from wearable sensors (IEEE Transactions on Information Technology in Biomedicine)
- Activity identification using body-mounted sensors—a review of classification techniques (Physiological Measurement)
Their papers
- Physical Human Activity Recognition Using Wearable Sensors (2015) — 760 citations
- Lower Limb Wearable Robots for Assistance and Rehabilitation: A State of the Art (2016) — 396 citations