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    Recent trends in machine learning for human activity recognition—A survey 

    Ramamurthy, Sreenivasan Ramasamy; Roy, Nirmalya (Wiley, 2018)
    There has been an upsurge recently in investigating machine learning techniques for Activity Recognition (AR) problems as that have been very effective in extracting and learn-ing knowledge from the activity datasets. The ...
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    Wearable Sensor-Based Location-Specific Occupancy Detection in Smart Environments 

    Khan, Md Abdullah Al Hafiz; Roy, Nirmalya; Hossain, H. M. Sajjad (Hindawi, 2018)
    Occupancy detection helps enable various emerging smart environment applications ranging from opportunistic HVAC (heating, ventilation, and air-conditioning) control, effective meeting management, healthy social gathering, ...
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    Mobeacon: An iBeacon-Assisted SmartphoneBased Real Time Activity Recognition Framework 

    Alam, Mohammad Arif Ul; Pathak, Nilavra; Roy, Nirmalya (EAI, 2015-08-11)
    Human activity recognition using multi-modal sensing technologies to automatically collect and classify daily activities has become an active field of research. Given the proliferation of smart and wearable devices and ...
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    RAM: Radar-based Activity Monitor 

    Khan, Md Abdullah Al Hafiz; Kukkapalli, Ruthvik; Waradpande, Piyush; Kulandaivel, Sekar; Banerjee, Nilanjan; Roy, Nirmalya; Robucc, Ryan (IEEE, 2016-07-20)
    Activity recognition has applications in a variety of human-in-the-loop settings such as smart home health monitoring, green building energy and occupancy management, intelligent transportation, and participatory sensing. ...
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    Analyzing the Sentiment of Crowd for Improving the Emergency Response Services 

    Singh, Neha; Roy, Nirmalya; Gangopadhyay, Aryya (IEEE, 2018-07-31)
    Twitter is an extremely popular micro-blogging social platform with millions of users, generating thousands of tweets per second. The huge amount of Twitter data inspire the researchers to explore the trending topics, event ...
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    Demo Abstract: Performance of the Latest Generation Powerline Networking for Green Building Applications 

    Taylor, Joseph; Roy, Nirmalya; Kleinschmidt, David; Shirazi, Behrooz (ACM New York, 2013-11-11)
    Green building applications need to efficiently communicate fine-grained power consumption patterns of a wide variety of consumer-grade appliances for an effective adaptation and percolation of demand response models down ...
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    CACE: Exploiting Behavioral Interactions for Improved Activity Recognition in Multi-Inhabitant Smart Homes 

    Alam, Mohammad Arif Ul; Roy, Nirmalya; Misra, Archan; Taylor, Joseph (IEEE, 2016-08-11)
    We propose CACE (Constraints And Correlations mining Engine) which investigates the challenges of improving the recognition of complex daily activities in multi-inhabitant smart homes, by better exploiting the spatiotemporal ...
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    Active Learning Enabled Activity Recognition 

    Hossain, H M Sajjad; Roy, Nirmalya; Khan, Md Abdullah Al Hafiz (IEEE, 2016-04-21)
    Activity recognition in smart environment has been investigated rigorously in recent years. Researchers are enhancing the underlying activity discovery and recognition process by adding various dimensions and functionalities. ...
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    Automated Functional and Behavioral Health Assessment of Older Adults with Dementia 

    Alam, Mohammad Arif Ul; Roy, Nirmalya; Holmes, Sarah; Gangopadhyay, Aryya; Galik, Elizabeth (IEEE, 2016-08-18)
    Dementia is a clinical syndrome of cognitive deficits that involves both memory and functional impairments. While disruptions in cognition is a striking feature of dementia, it is also closely coupled with changes in ...
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    UnTran: Recognizing Unseen Activities with Unlabeled data using Transfer Learning 

    Khan, Md Abdullah Al Hafiz; Roy, Nirmalya (IEEE, 2018)
    The success and impact of activity recognition algorithms largely depends on the availability of the labeled training samples and adaptability of activity recognition models across various domains. In a new environment, ...
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    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.

     

     

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    Roy, Nirmalya (29)
    Khan, Md Abdullah Al Hafiz (8)Pathak, Nilavra (7)Alam, Mohammad Arif Ul (5)Gangopadhyay, Aryya (5)Hossain, H M Sajjad (4)Banerjee, Nilanjan (3)Misra, Archan (3)Taylor, Joseph (3)Anam, Amrita (2)... View MoreSubjectMobile Pervasive & Sensor Computing Lab (19)Sensors (4)Smart homes (4)Accelerometers (3)Adaptation models (3)Biomedical monitoring (3)Data models (3)Feature extraction (3)Monitoring (3)UMBC Mobile Pervasive & Sensor Computing Lab (3)... View MoreDate Issued2018 (9)2016 (6)2015 (5)2017 (4)2013 (2)2019 (1)Has File(s)Yes (29)


    Albin O. Kuhn Library & Gallery
    University of Maryland, Baltimore County
    1000 Hilltop Circle
    Baltimore, MD 21250
    www.umbc.edu/scholarworks

    Contact information:
    Email: scholarworks-group@umbc.edu
    Phone: 410-455-3021


    If you wish to submit a copyright complaint or withdrawal request, please email mdsoar-help@umd.edu.