A hybrid LSTM neural network for energy consumption forecasting of individual households
Irregular human behaviors and univariate datasets remain as two main obstacles of data-
driven energy consumption predictions for individual households. In this study, a hybrid …
driven energy consumption predictions for individual households. In this study, a hybrid …
Kinematic modeling for biped robot gait trajectory using machine learning techniques
This paper presents the predictive models for biped robot trajectory generation. Predictive
models are parametrizing as a continuous function of joint angle trajectories. In a previous …
models are parametrizing as a continuous function of joint angle trajectories. In a previous …
Comparison of algorithms and classifiers for stride detection using wearables
T Steinmetzer, I Bönninger, M Reckhardt… - Neural Computing and …, 2020 - Springer
Sensor-based systems for diagnosis or therapy support of motor dysfunctions need
methodologies of automatically stride detection from movement sequences. In this proposal …
methodologies of automatically stride detection from movement sequences. In this proposal …
S-WD-EEMD: A hybrid framework for imbalanced sEMG signal analysis in diagnosis of human knee abnormality
The diagnosis of human knee abnormalities using the surface electromyography (sEMG)
signal obtained from lower limb muscles with machine learning is a major problem due to …
signal obtained from lower limb muscles with machine learning is a major problem due to …
Analysis and classification of motor dysfunctions in arm swing in Parkinson's disease
T Steinmetzer, M Maasch, I Bönninger, CM Travieso - Electronics, 2019 - mdpi.com
Due to increasing life expectancy, the number of age-related diseases with motor
dysfunctions (MD) such as Parkinson's disease (PD) is also increasing. The assessment of …
dysfunctions (MD) such as Parkinson's disease (PD) is also increasing. The assessment of …
Probabilistic modeling of human locomotion for biped robot trajectory generation
The wheel-type robot has found numerous applications in hospitals, restaurants,
entertainment, the automation industry, etc., and shows its applicability in solving the tasks …
entertainment, the automation industry, etc., and shows its applicability in solving the tasks …
Mapping model for genesis of joint trajectory using human gait dataset
Walking gait trajectory genesis for the biped robot is a cumbersome task because of many
degrees of freedom. In this paper, the authors have proposed machine learning models for …
degrees of freedom. In this paper, the authors have proposed machine learning models for …
Biped Robot Data-driven Gait Trajectory Genesis for Traipse Ground Conditions
This paper presents a data-driven gait model for continuous parameterization of joint
kinematics which yields the genesis of biped robot trajectory. This work employed data …
kinematics which yields the genesis of biped robot trajectory. This work employed data …
Data Driven Kinematic Modeling of Human Gait for Synthesize Joint Trajectory
Synthesis of reference joint trajectories for the legged robot is a very difficult task due to
higher degrees of free-dom. The gait dataset can be used to develop the models which can …
higher degrees of free-dom. The gait dataset can be used to develop the models which can …
A Review in Biomechanics Modeling
Human kinetics are of major medical interest especially in case of disabled persons.
Rehabilitation physicians and patients can be aided by bioinformatics and modeling …
Rehabilitation physicians and patients can be aided by bioinformatics and modeling …