Debatri Chatterjee

Debatri Chatterjee
Tata Consultancy Services Limited | TCS · TCS Innovation Labs, Kolkata

MTech

About

59
Publications
5,815
Reads
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386
Citations
Citations since 2017
39 Research Items
326 Citations
2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
2017201820192020202120222023020406080
Additional affiliations
October 2005 - November 2015
Tata Consultancy Services Limited
Position
  • Researcher
January 2005 - November 2015
Tata Consultancy Services Limited
Position
  • Researcher

Publications

Publications (59)
Article
Full-text available
Detection of mental states like stress/anxiety, mediation is a widely researched topic and is important for ensuring overall well-being of an individual. Several approaches have been reported in the literature for prediction or assessment of mental states. Recently, with advances in sensor technology, various physiological signals are being used by...
Conference Paper
Eye blink is indicative of various mental states. Generally, vision based approaches are used for detecting eye blinks. However, performance of such approaches varies across participants. Standard eye tracker or eye glasses used for detecting blinks, are very costly. Here, we are proposing a personalized vision based eye blink detector system. Prop...
Conference Paper
Stress detection is a widely researched topic and is important for overall well-being of an individual. Several approaches are used for prediction/classification of stress. Most of these approaches perform well for subject and activity specific scenarios as stress is highly subjective. So, it is difficult to create a generic model for stress predic...
Article
Full-text available
Self-confidence is one’s own belief of success with respect to a specific task. Cognitive tasks like decision making, problem solving etc. are influenced a lot by our self-confidence level. Recent studies show possibility of assessing self-confidence level from brain activation patterns. Here, we are proposing a novel metric based on brain signals...
Chapter
This study discusses an appropriate framework to assess participant’s cognitive performance-based on their brain activity dynamics recorded through an electroencephalogram (EEG) device. To this aim, we have used a publicly available EEG dataset. The dataset contains EEG recording of 36 subjects before and during a mental arithmetic task. The partic...
Chapter
Human brain undergoes various level of morphological changes with aging, volumetric atrophy of certain region being most common. Healthy aging is accompanied with deficits in motor and cognitive functions. Age-related atrophy of the motor cortical regions usually correlates with motor disabilities like postural imbalance, gait and coordination defi...
Conference Paper
This paper presents a `drop jump' modeling to study the effect of synergistic muscle activation on controlling Anterior Cruciate Ligament (ACL) injury. ACL injuries are mostly caused during high impact loading. A full body musculoskeletal model with knee ligaments have been developed in `OpenSim platform' to simulate ACL injury during drop jump act...
Conference Paper
Recognizing mental states from physiological signal is a concern not only for medical diagnostics, but also for cognitive science, behavioral studies as well as brain machine interfaces. This study employs an unique approach of solely utilizing the respiration signals in order to decipher mental states. A public dataset, Affective Pacman, is consid...
Conference Paper
Mental workload or cognitive load is the total amount of mental resources required while doing a task. Apart from qualitative measures, various physiological signals are being used for assessment of mental workload. However, very limited research has been done on assessment of cognitive load from respiratory signals. In the present study, we have t...
Article
Full-text available
Analysis of cognitive functioning from gaze behavior might serve as an early indicator of age related decline of cognitive functions. Standard psychological tests like the digit-symbol substitution test or the symbol-digit modalities test is used exclusively in this regard. In this paper, we have designed and developed a digitized version of the di...
Conference Paper
Full-text available
Mental workload or cognitive load (CL) can be defined as the amount of memory resources utilized while doing a task [Gavas et al., 2016]. Various approaches like subjective assessment, questionnaire based assessment etc. are used to assess CL. Another approach relies on measurement based on various physiological changes like heart rate, skin conduc...
Article
Spontaneous pupillary fluctuations are indicative of the cognitive load imposed while doing a task involving memory resources. However, the fluctuations are also dependent on other factors like lighting conditions, uncertainty or the level of confidence while performing the task and so on. This paper aims to separate various components of pupillary...
Conference Paper
Cognitive impairments or dysfunctions are one of the major issues of aging population and medical conditions like brain damage, stroke etc. Assessment of cognitive functioning is usually done by medical practitioners using various standard psychological tests which require expert interventions. In the present study we have tried to use eye tracking...
Chapter
Full-text available
The elderly population is steadily increasing in most countries due to a decline in birth and mortality rate. The population of independently living senior citizens has also become significant. This has led to an active research focus in geriatric wellness. Apart from the usual physical and cognitive decline that proceeds with age, there are much s...
Article
Full-text available
Eye tracking is one of the most widely used technique for assessment, screening and human-machine interaction related applications. There are certain issues which limit the usage of eye trackers in practical scenarios, viz., i) need to perform multiple calibrations and ii) presence of inherent noise in the recorded data. To address these issues, we...
Article
The role of Microsoft Kinect in rehabilitation and clinical assessments of elderly and stroke patients is growing due to its affordability and unobtrusiveness in assessing human body joint kinematics. However, Kinect data is highly contaminated by noise due to the nature of the structured light based system. The noise characteristics vary for stati...
Article
Full-text available
Developing a quantifier of the neural control of motion is extremely useful in characterizing motor disorders and personalizing the model equations using data. We approach this problem using a top-down optimal control methodology, with an aim that the quantity estimated from the collected data is representative of the underlying neural controller....
Conference Paper
Eye movement analysis finds tremendous usefulness in various medical screening applications and rehabilitation. Infrared sensor based eye trackers are becoming popular but these are expensive and need repeated calibration. Moreover, with multiple calibration also, there persists some noises called, variable and systematic, resulting in inaccurate g...
Conference Paper
Balance plays an important role for human bipedal locomotion. Degeneration of balance control is prominent in stroke patients, elderly adults and even for majority of obese people. Design of personalized balance training program, in order to strengthen muscles, requires the analysis of muscle activation during an activity. In this paper we have pro...
Conference Paper
Aim of this paper is to formulate a posturography stability score for stroke patients using fuzzy logic. Postural instability is one of the prominent symptoms of stroke, dementia, parkinsons disease, myopathy, etc. and is the major precursor of fall. Conventional scoring techniques used to assess postural stability require manual intervention and a...
Article
Balance, gait and postural control are some of the key factors in determining the overall stability of an individual. Several highend and costly solutions exist to perform movement analysis in clinical settings. OpenSim is a tool which uses 39 marker positions, obtained from such highend solutions like VICON or equivalent multicamera setup, for the...
Conference Paper
Extraction of desirable information from electroencephalogram signals require same level of active involvement from the participants throughout the entire duration of the task. However, this is hard to attain due to environmental, personal and internal factors including thought processes. This poses a major challenge in realizing accurate evaluatio...
Conference Paper
During an examination, the performance of a student not only depends on the preparation but also depends on cognitive and psychological factors. The present study aims at analysing the dynamics of the mental workload or stress and its impact on students' performance during an examination process. The experiment is designed using a set of multiple c...
Conference Paper
It is very challenging to provide a learning experience which is meaningful, motivated and at the same time enjoyable in nature. This often affects the students who cannot learn or do not want to learn due to lack of engagement and guidance. The same scenario is also true for working professionals in industries. Cognitive flow, defined as the menta...
Conference Paper
It is very challenging to provide a learning experience which is meaningful, motivated and at the same time enjoyable in nature. This often affects the students who cannot learn or do not want to learn due to lack of engagement and guidance. The same scenario is also true for working professionals in industries. Cognitive flow, defined as the menta...
Conference Paper
Electroencephalogram (EEG) signals are of very low amplitude and are easily contaminated by different types of noises like environmental and of non-cerebral in nature. Thus signal pre-processing is a major challenge while dealing with applications involving EEG signals. The scenario becomes much more complex while using commercially available, low...
Chapter
Use of Electroencephalography (EEG) to detect cognitive load is a well-practiced technique. Cognitive load reflects the mental load imparted on a person providing a crucial parameter for applications like personalized education and usability testing. There are several approaches to process the EEG signals and thus choosing an optimal signal process...
Conference Paper
Cognitive load primarily depends on how an individual perceives, assimilates and responds to an external stimulus. We intend to create Electroencephalogram (EEG) models for the cognitive skills defined in the Bloom’s taxonomy using low cost, commercial EEG devices. This could be applied in educational psychology to provide individual assistance acc...
Article
Use of EEG signals in measuring cognitive load is a widely practiced area and falls under Brain-Computer-Interfacing (BCI) technology. However this technology uses medical grade EEG devices that are expensive as well as not user-friendly for regular use. Recent launch of low cost wireless EEG headsets from different companies opens up the possibili...
Conference Paper
— Measurement of cognitive load using brain signals is an important area of research in human behavior and psychology. Recently, there have been attempts to use low cost, commercial-ly available Electroencephalogram (EEG) devices for the analy-sis of the cognitive load. Due to the reduced number of leads, these low resolution devices pose major cha...
Conference Paper
Use of Electroencephalography (EEG) to detect cognitive load is a well-practiced technique. Cognitive load reflects the mental load imparted on a person providing a crucial parameter for applications like personalized education and usability testing. There are several approaches to process the EEG signals and thus choosing an optimal signal process...
Conference Paper
Use of EEG signals in measuring cognitive load is a widely practiced area and falls under Brain-Computer-Interfacing (BCI) technology. However, this technology uses medical grade EEG devices that are expensive as well as not user-friendly for regular use. Recent launch of low cost wireless EEG headsets from different companies opens up the possibil...
Article
Full-text available
Individuals exhibit different levels of cognitive load for a given mental task. Measurement of cognitive load can enable real-time personalized content generation for distant learning, usability testing of applications on mobile devices and other areas related to human interactions. Electroencephalogram (EEG) signals can be used to analyze the brai...
Conference Paper
The paper aims at evaluation of different onscreen keyboard layouts based on the biological responses of the users. The signal used for the said purpose is Electroencephalogram acquired by low cost neuro-headset from Emotiv. We propose to use human cognition as the fundamental feature to discriminate between user-friendly vs. cumbersome onscreen la...
Article
The paper aims at designing a novel scheme for cognitive load classification of subjects engaged in program analysis. The logic of propositions has been employed here to construct program segments to be used for cognitive load analysis and classification. Electroencephalogram signals acquired from the subjects during program analysis are first fuzz...
Article
Certain applicat ions (e.g web browsing, email etc.) in Television (TV) demand for text entry by the user in a similar fashion as done in co mputers. User experience p lays a majo r role in the success of such applications. This paper discusses about an on-screen keyboard with hierarchical character or sy mbol organization which is operated by an a...
Article
With the popularization of the smart television (TV), more and more new applications are emerging. In spite of the applications being interesting and useful for a large community, the presentation of the content and the user interaction plays a major role in determining its acceptability. Hence there is a need for personalization. In this paper, we...
Conference Paper
In this paper, we propose an on-screen keyboard for television and Set Top Box (STB) users which allow them to type with reduced number of key-strokes using a remote control and thus improves users’ over-all experience while using services like Internet surfing, short message service (SMS) and Instant Messaging (IM). The faster typing is made possi...

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Project (1)
Project
Sensing human being for better understanding of their well being and behavior. The sensors include personal devices, infrastructure based sensing and also sensing using devices around the subject.