Ramasamy Ramamurthy, Sreenivasan, Ghosh, Indrajeet, Gangopadhyay, Aryya, Galik, Elizabeth, and Roy, Nirmalya. STAR-Lite: A light-weight scalable self-taught learning framework for older adults’ activity recognition. Retrieved from https://par.nsf.gov/biblio/10407216. Pervasive and Mobile Computing 87.C Web. doi:10.1016/j.pmcj.2022.101698.

Ramasamy Ramamurthy, Sreenivasan, Ghosh, Indrajeet, Gangopadhyay, Aryya, Galik, Elizabeth, & Roy, Nirmalya. STAR-Lite: A light-weight scalable self-taught learning framework for older adults’ activity recognition. Pervasive and Mobile Computing, 87 (C). Retrieved from https://par.nsf.gov/biblio/10407216. https://doi.org/10.1016/j.pmcj.2022.101698

Ramasamy Ramamurthy, Sreenivasan, Ghosh, Indrajeet, Gangopadhyay, Aryya, Galik, Elizabeth, and Roy, Nirmalya. "STAR-Lite: A light-weight scalable self-taught learning framework for older adults’ activity recognition". Pervasive and Mobile Computing 87 (C). Country unknown/Code not available. https://doi.org/10.1016/j.pmcj.2022.101698. https://par.nsf.gov/biblio/10407216.

@article{osti_10407216,
place = {Country unknown/Code not available}, title = {STAR-Lite: A light-weight scalable self-taught learning framework for older adults’ activity recognition}, url = {https://par.nsf.gov/biblio/10407216}, DOI = {10.1016/j.pmcj.2022.101698}, abstractNote = {}, journal = {Pervasive and Mobile Computing}, volume = {87}, number = {C}, author = {Ramasamy Ramamurthy, Sreenivasan and Ghosh, Indrajeet and Gangopadhyay, Aryya and Galik, Elizabeth and Roy, Nirmalya}, }