Zobrazeno 1 - 10
of 400
pro vyhledávání: '"P, 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
Autor:
Lalan, Arshika, Verma, Shresth, Diaz, Paula Rodriguez, Danassis, Panayiotis, Mahale, Amrita, Sudan, Kumar Madhu, Hegde, Aparna, Tambe, Milind, Taneja, Aparna
Harnessing the wide-spread availability of cell phones, many nonprofits have launched mobile health (mHealth) programs to deliver information via voice or text to beneficiaries in underserved communities, with maternal and infant health being a key a
Externí odkaz:
http://arxiv.org/abs/2407.12131
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
Autor:
Lalan, Arshika, Verma, Shresth, Sudan, Kumar Madhu, Mahale, Amrita, Hegde, Aparna, Tambe, Milind, Taneja, Aparna
Mobile health programs are becoming an increasingly popular medium for dissemination of health information among beneficiaries in less privileged communities. Kilkari is one of the world's largest mobile health programs which delivers time sensitive
Externí odkaz:
http://arxiv.org/abs/2311.07139
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