Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Active upper limb prostheses: A review on current state and upcoming breakthroughs
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …
Human–robot interaction review and challenges on task planning and programming
The wide interest of research and industry in the human–robot interaction (HRI) related
topics is proportional to the increased productivity and flexibility of the production lines, as it …
topics is proportional to the increased productivity and flexibility of the production lines, as it …
Multiday EMG-based classification of hand motions with deep learning techniques
Pattern recognition of electromyography (EMG) signals can potentially improve the
performance of myoelectric control for upper limb prostheses with respect to current clinical …
performance of myoelectric control for upper limb prostheses with respect to current clinical …
A framework for hand gesture recognition based on accelerometer and EMG sensors
This paper presents a framework for hand gesture recognition based on the information
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
fusion of a three-axis accelerometer (ACC) and multichannel electromyography (EMG) …
A wearable system for recognizing American sign language in real-time using IMU and surface EMG sensors
A sign language recognition system translates signs performed by deaf individuals into
text/speech in real time. Inertial measurement unit and surface electromyography (sEMG) …
text/speech in real time. Inertial measurement unit and surface electromyography (sEMG) …
Electromyography-based gesture recognition: Is it time to change focus from the forearm to the wrist?
Despite a historical focus on prosthetics, the incorporation of electromyography (EMG)
sensors into less obtrusive wearable designs has recently gained attention as a potential …
sensors into less obtrusive wearable designs has recently gained attention as a potential …
EMPress: Practical hand gesture classification with wrist-mounted EMG and pressure sensing
Practical wearable gesture tracking requires that sensors align with existing ergonomic
device forms. We show that combining EMG and pressure data sensed only at the wrist can …
device forms. We show that combining EMG and pressure data sensed only at the wrist can …
[PDF][PDF] EMG signal classification for human computer interaction: a review
With the ever increasing role of computerized machines in society, Human Computer
Interaction (HCI) system has become an increasingly important part of our daily lives. HCI …
Interaction (HCI) system has become an increasingly important part of our daily lives. HCI …
Ultragesture: Fine-grained gesture sensing and recognition
With the rising of AR/VR technology and miniaturization of mobile devices, gesture
recognition is becoming increasingly popular in the research area of human-computer …
recognition is becoming increasingly popular in the research area of human-computer …