Classification of Human Gait: Swing and Stance Phases using Sum-Vector Analysis

Autor: Sagar S Babu, Shyam Diwakar, Chaitanya Nutakki

Publikováno v: Procedia Computer Science. 171:403-409

Recent advances in low-cost wearable sensors with methodologies, have opened up a promising future for gait analysis. By providing patient analysis with gait disorders from clinics to common people the analysis requires some form of precised user inp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::3f7f4a43a90e65749d8e447674dbbbb6
https://doi.org/10.1016/j.procs.2020.04.042

Generalization and Personalization of Mobile Sensing-Based Mood Inference Models: An Analysis of College Students in Eight Countries

Autor: Lakmal Meegahapola, William Droz, Peter Kun, Amalia de Götzen, Chaitanya Nutakki, Shyam Diwakar, Salvador Ruiz Correa, Donglei Song, Hao Xu, Miriam Bidoglia, George Gaskell, Altangerel Chagnaa, Amarsanaa Ganbold, Tsolmon Zundui, Carlo Caprini, Daniele Miorandi, Alethia Hume, Jose Luis Zarza, Luca Cernuzzi, Ivano Bison, Marcelo Rodas Britez, Matteo Busso, Ronald Chenu-Abente, Can Günel, Fausto Giunchiglia, Laura Schelenz, Daniel Gatica-Perez

Publikováno v: Meegahapola, L, Droz, W, Kun, P, de Götzen, A, Nutakki, C, Diwakar, S, Ruiz-Correa, S, Song, D, Xu, H, Bidoglia, M, Gaskell, G, Chagnaa, A, Ganbold, A, Zundui, T, Caprini, C, Miorandi, D, Hume, A, Zarza, J L, Cernuzzi, L, Bison, I, Rodas Britez, M, Busso, M, Chenu-Abente, R, Günel, C, Giunchiglia, F, Schelenz, L & Gatica-Perez, D 2022, ' Generalization and Personalization of Mobile Sensing-Based Mood Inference Models : An Analysis of College Students in Eight Countries ', Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., vol. 6, no. 4, 176, pp. 1-32 . https://doi.org/10.1145/3569483

Mood inference with mobile sensing data has been studied in ubicomp literature over the last decade. This inference enables context-aware and personalized user experiences in general mobile apps and valuable feedback and interventions in mobile healt

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7aae99099ea0abb1aefd2aeec71e0d88

Modeling fMRI BOLD signals and temporal mismatches in the cerebellar cortex

Autor: Bipin G. Nair, Sreedev Radhakrishnan, Chaitanya Nutakki, Shyam Diwakar

Publikováno v: CSI Transactions on ICT. 7:191-198

To understand brain activity relating neurons to circuits to learning and behavior, we explored a bottom-up computational reconstruction of population signals arising from cerebellum granular layer. As a first implementation, using bio-realistic comp

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd7253d8453cbd287e16924e6374a26a
https://doi.org/10.1007/s40012-019-00229-8

Correlations of Gait Phase Kinematics and Cortical EEG: Modelling Human Gait with Data from Sensors

Autor: Sandeep Bodda, Shyam Diwakar, Chaitanya Nutakki

Publikováno v: Advances in Neural Signal Processing

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ee32f624002d860cf21de40c9351bbc
https://doi.org/10.5772/intechopen.88465

Experimental Recording and Assessing Gait Phases Using Mobile Phone Sensors and EEG

Autor: Chaitanya Nutakki, Abhijith Balachandran, Shyam Diwakar, Bipin G. Nair, Sandeep Bodda

Publikováno v: ICACCI

Human manner of walking characterized by kinematic parameters measure posture-gait control characterizing the dynamic changes in body parts with the involvement of multi-sensory patterns processed by different parts of the brain. In this study, low-c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::1bb8468367da2cc48f8f2e3c809873c4
https://doi.org/10.1109/icacci.2018.8554790