Zobrazeno 1 - 10
of 152
pro vyhledávání: '"kumar, Lalan"'
Autor:
Anand, Pradyot, Jain, Anant, Muthukrishnan, Suriya Prakash, Bhasin, Shubhendu, Roy, Sitikantha, Kalathe, Mohanavelu, Kumar, Lalan
Electroencephalography (EEG)--based turn intention prediction for lower limb movement is important to build an efficient brain-computer interface (BCI) system. This study investigates the feasibility of intention detection of left-turn, right-turn, a
Externí odkaz:
http://arxiv.org/abs/2410.11339
Autor:
Ranjan, Shivani, Kumar, Lalan
Dementia poses a growing challenge in our aging society. Frontotemporal dementia (FTD) and Alzheimer disease (AD) are the leading causes of early-onset dementia. FTD and AD display unique traits in their onset, progression, and treatment responses. I
Externí odkaz:
http://arxiv.org/abs/2409.16823
Exoskeletons and rehabilitation systems offer great potential for enhancing human strength and recovery through advanced human-machine interfaces (HMIs) that adapt to movement dynamics. However, the real-time application of physics-informed neural ne
Externí odkaz:
http://arxiv.org/abs/2408.16599
Autor:
Ranjan, Shivani, Tripathi, Ayush, Shende, Harshal, Badal, Robin, Kumar, Amit, Yadav, Pramod, Joshi, Deepak, Kumar, Lalan
Dementia is a neurological syndrome marked by cognitive decline. Alzheimer's disease (AD) and Frontotemporal dementia (FTD) are the common forms of dementia, each with distinct progression patterns. EEG, a non-invasive tool for recording brain activi
Externí odkaz:
http://arxiv.org/abs/2408.10816
Autor:
Jain, Anant, Kumar, Lalan
Electroencephalogram (EEG) signals-based motor kinematics prediction (MKP) has been an active area of research to develop brain-computer interface (BCI) systems such as exosuits, prostheses, and rehabilitation devices. However, EEG source imaging (ES
Externí odkaz:
http://arxiv.org/abs/2406.11500
In this research, we present an innovative method known as a physics-informed neural network (PINN) model to predict multi-joint kinematics using electromyography (EMG) signals recorded from the muscles surrounding these joints across various loads.
Externí odkaz:
http://arxiv.org/abs/2312.09418
Airwriting recognition is a task that involves identifying letters written in free space using finger movement. It is a special case of gesture recognition, where gestures correspond to letters in a specific language. Electroencephalography (EEG) is
Externí odkaz:
http://arxiv.org/abs/2308.03555
Modeling and parametric optimization of 3D tendon-sheath actuator system for upper limb soft exosuit
Autor:
Yadav, Amit, Kumar, Nitesh, Surana, Shaurya, Ramasamy, Aravind, Pal, Abhishek Rudra, Santapuri, Sushma, Kumar, Lalan, Muthukrishnan, Suriya Prakash, Bhasin, Shubhendu, Roy, Sitikantha
This paper presents an analysis of parametric characterization of a motor driven tendon-sheath actuator system for use in upper limb augmentation for applications such as rehabilitation, therapy, and industrial automation. The double tendon sheath sy
Externí odkaz:
http://arxiv.org/abs/2306.17427
Autor:
Jain, Anant, Kumar, Lalan
Publikováno v:
2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), Sydney, Australia, 2023
Motor kinematics decoding (MKD) using brain signal is essential to develop Brain-computer interface (BCI) system for rehabilitation or prosthesis devices. Surface electroencephalogram (EEG) signal has been widely utilized for MKD. However, kinematic
Externí odkaz:
http://arxiv.org/abs/2304.06321
The process of integration of inputs from several sensory modalities in the human brain is referred to as multisensory integration. Age-related cognitive decline leads to a loss in the ability of the brain to conceive multisensory inputs. There has b
Externí odkaz:
http://arxiv.org/abs/2304.06315