Haslina Jaafar

About

Dr. Haslina Jaafar is a leading researcher in rehabilitation robotics and biomedical engineering, specializing in surface electromyography (sEMG)-controlled assistive devices. Her work focuses on developing intuitive, practical robotic systems—particularly soft robotic gloves—to restore hand function for individuals affected by stroke, arthritis, and other neuromuscular conditions. Dr. Jaafar’s major contribution is the creation of amplitude-independent muscle activity detection algorithms, such as the adaptive zero-crossing technique, which overcome the critical limitation of signal variability in sEMG. This innovation makes prosthetic and orthotic devices more reliable for daily use, as demonstrated in her highly cited 2019 review (33 citations) on sEMG-controlled hand robots. Her 2018 study on a soft robotic glove controlled via a single sEMG channel (9 citations) exemplifies her drive toward simplified, user-friendly systems. She has also conducted comparative studies on detection algorithms and identified optimal forearm muscles for control, advancing the field’s practical application. With a portfolio of papers addressing real-world rehabilitation challenges, Dr. Jaafar’s work bridges the gap between laboratory prototypes and accessible assistive technologies, making her a key figure in the development of next-generation robotic aids for daily living.

Research Focus

Key Achievements

Top Papers

1. 1
   A Review on Surface Electromyography-Controlled Hand Robotic Devices Used for Rehabilitation and Assistance in Activities of Daily Living

   33 citations · 2019
2. 2
   Soft robotic glove system controlled with amplitude independent muscle activity detection algorithm by using single sEMG channel

   9 citations · 2018
3. 3
   An amplitude independent muscle activity detection algorithm based on adaptive zero crossing technique and mean instantaneous frequency of the sEMG signal

   9 citations · 2017
4. 4
   Identifying the Best Forearm Muscle to Control Soft Robotic Glove System by Using a Single sEMG Channel

   7 citations · 2020
5. 5
   A wireless flipper robot using interface free controller

   5 citations · 2013
6. 6
   Investigating the performance of an amplitude-independent algorithm for detecting the hand muscle activity of stroke survivors

   5 citations · 2020
7. 7
   Amplitude independent versus amplitude dependent muscle activity detection algorithms: a comparative study

   3 citations · 2020
8. 8
   An Experiment of Thick Film Force Sensor Using MEMS Simulation Software.

   3 citations · 2013

Key Collaborators

Contact & Links