Barnan Das

Intel

As machine learning techniques mature and are used to tackle complex scientific problems, challenges arise such as the imbalanced class distribution problem, where one of the target class labels is under-represented in comparison with other classes. Existing oversampling approaches for addressing this problem typically do not consider the probabili...

The area of supervised machine learning often encounters imbalanced class distribution problem where one class is under represented as compared to other classes. Additionally, in many real-life problem domains, data with an imba-lanced class distribution contains ambiguous regions in the data space where the prior probability of two or more classes...

The class imbalance problem is a well-known classification challenge in machine learning that has vexed researchers for over a decade. Under-representation of one or more of the target classes (minority class(es)) as compared to others (majority class(es)) can restrict the application of conventional classifiers directly on the data. In addition, e...

As machine learning techniques mature and are used to tackle complex scientific problems, challenges arise such as the imbalanced class distribution problem, where one of the target class labels is under-represented in comparison with other classes. Existing over sampling approaches for addressing this problem typically do not consider the probabil...

Older adults with cognitive impairments often have difficulty performing instrumental activities of daily living (IADLs). Prompting technologies have gained popularity over the last decade and have the potential to assist these individuals with IADLs in order to live independently. Although prompting techniques are routinely used by caregivers and...

The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to users for timely reminders or brief instructions describing the way a task should be carried out for...

Due to an increased popularity of assistive healthcare technologies activity recognition has become one of the most widely studied problems in technology-driven assistive healthcare domain. Current approaches for smart-phone based activity recognition focus only on simple activities such as locomotion. In this paper, in addition to recognizing simp...

Individuals with cognitive impairment have difficulty successfully performing activities of daily living, which can lead to decreased independence. In order to help these individuals age in place and decrease caregiver burden, technologies for assistive living have gained popularity over the last decade. This demo illustrates the implementation of...

Individuals with cognitive impairment have difficulty successfully performing activities of daily living, which can lead to decreased independence. In order to help these individuals age in place and decrease caregiver burden, technologies for assistive living have gained popularity over the last decade. In this work, a context-aware prompting syst...

The growth in popularity of smart environments has been quite steep in the last decade and so has the demand for smart health assistance systems. A smart home-based prompting system can enhance these technologies to deliver in-home interventions to a user for timely reminders or a brief instruction describing the way a task should be done for succe...

With more older adults and people with cognitive disorders preferring to stay independently at home, prompting systems that assist with Activities of Daily Living (ADLs) are in demand. In this paper, with the introduction of “The PUCK”, we take the very first approach to automate a prompting system without any predefined rule set or user feedback....

Recent years have witnessed the emergence of Smart Environments technology for assisting people with their daily routines and for remote health monitoring. A lot of work has been done in the past few years on Activity Recognition and the technology is not just at the stage of experimentation in the labs, but is ready to be deployed on a larger scal...

In smart home environment research, little attention has been given to monitoring, analyzing, and predicting energy usage, despite the fact that electricity consumption in homes has grown dramatically in the last few decades. We envision that a potential application of this smart environment technology is predicting the energy would be used to supp...

One of the most common functions of smart environments is to monitor and assist older adults with their activities of daily living. Activity recognition is a key component in this application. It is essentially a temporal classification problem which has been modeled in the past by naïve Bayes classifiers and hidden Markov models (HMMs). In this pa...

Over the last decade there has been a significant growth of research endeavors in the area of ambient intelligence or smart environments. An anticipated increase in the older adult population around the globe and an increase in health care expenditures as a result, has increased the demand of smart health assistance systems. Along with the classica...

With the rising cost of medical treatment and majority of the aging population preferring an independent lifestyle, the need for assistive technologies and smarted devices are increasing like never before. A prompting system is a technique that provides interventions to a smart home inhabitant in order to ensure successful completion of an activity...