Intention detection using a neuro-fuzzy EMG classifier

Simultaneous Bayesian Recognition of Locomotion and Gait Phases With Wearable Sensors

“…FL and combination of ANN and EMG signals, were employed for human intent recognition and prosthesis control achieving an accuracy of 95% [24], [25]. Multiple human activities were recognised using EMG and vision sensors with support vector machines (SVMs).…”

Analysis of MEG Background Activity in Alzheimer’s Disease Using Nonlinear Methods and ANFIS

“…13 Moreover, it has already been successfully applied for the classification of biological time series, such as EEG 13 or electromyographic recordings. 18 In this study, we have examined the MEG background activity in 20 patients with probable AD and 21 control subjects with two non-linear methods: SampEn and LZC. The former quantifies the signal regularity, while the latter is a complexity measure.…”

A New Directional-Intent Recognition Method for Walking Training Using an Omnidirectional Robot

“…The reason for this better performance is that the force sensors used in the proposed method are more stable and have less noise and drift phenomena. Besides, although identification errors were found in each direction, the results were promising and showed greater levels of accuracy than those reported elsewhere [32,35]. Since the proposed fuzzy knowledge base drawn from linguistic variables can appropriately simulate the relation between forearm pressure and directional intent, it is more accurate than the method proposed in [32,35].…”

“…Besides, although identification errors were found in each direction, the results were promising and showed greater levels of accuracy than those reported elsewhere [32,35]. Since the proposed fuzzy knowledge base drawn from linguistic variables can appropriately simulate the relation between forearm pressure and directional intent, it is more accurate than the method proposed in [32,35]. The cause of identification errors might be related to the exact of knowledge base and reasonability of the distance-calculation method and reasoning method.…”

“…Electromyography (EMG) has been used extensively to detect user's intent [31]. The recognition rate of this method is low due to its high sensitivity to electrode displacement [32]. An interface "plate" was developed to indicate directional intent [33].…”