Person

Dipanjan Chakraborty

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Related publications (22)

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This paper proposes a new method for recognizing both activities and gestures by using acceleration data collected on a smartwatch. While both activity recognition techniques and gesture recognition techniques employ acceleration data, these techniques are ...

Ieee2016

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This paper presents an energy-aware method for recognizing time series acceleration data containing both activities and gestures using a wearable device coupled with a smartphone. In our method, we use a small wearable device to collect accelerometer data ...

ACM2015

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Many electricity suppliers around the world are deploying smart meters to gather fine-grained spatiotemporal consumption data and to effectively manage the collective demand of their consumer base. In this paper, we introduce a structured framework and a d ...

2014

EnviroMeter: A Platform for Querying Community-Sensed Data

Karl Aberer, Dipanjan Chakraborty, Saket Sathe

Efficiently querying data collected from Large-area Communitydriven Sensor Networks (LCSNs) is a new and challenging problem. In our previous works, we proposed adaptive techniques for learning models (e.g., statistical, non-parametric, etc.) from such dat ...

2013

Semantic trajectories: Mobility data computation and annotation

Karl Aberer, Stefano Spaccapietra, Christine Parent, Zhixian Yan, Dipanjan Chakraborty

With the large-scale adoption of GPS equipped mobile sensing devices, positional data generated by moving objects (e.g., vehicles, people, animals) are being easily collected. Such data are typically modeled as streams of spatio-temporal (x,y,t) points, ca ...

2013

An exploration with online complex activity recognition using cellphone accelerometer

Karl Aberer, Zhixian Yan, Dipanjan Chakraborty, Sumit Mittal

We investigate the problem of online detection of complex activities (such as cooking, lunch, work at desk), i.e., recognizing them while the activities are being performed using parts of the sensor data. In contrast to prior work, where complex activity r ...

ACM2013

Sustainable Energy Consumption Monitoring in Residential Settings

Karl Aberer, Dipanjan Chakraborty

The continuous growth of energy needs and the fact that unpredictable energy demand is mostly served by unsustainable (i.e. fossil-fuel) power generators have given rise to the development of Demand Response (DR) mechanisms for flattening energy demand. Bu ...

2013

DRSim: A Cyber Physical Simulator for Demand Response Systems

Karl Aberer, Dipanjan Chakraborty, Tri Kurniawan Wijaya

Demand Response (DR) is a mechanism in which electricity consumers alter their demand in response to power grid’s supply and economic conditions. DR programs have the potential to improve resource efficiency, sustainability, grid reliability and economic v ...

2013

Sustainable Energy Consumption Monitoring in Residential Settings

Karl Aberer, Dipanjan Chakraborty

Ieee2013

ConDense: Managing Data in Community-driven Mobile Geosensor Networks

Karl Aberer, Dipanjan Chakraborty, Saket Sathe, Sebastian Cartier

Effectively managing the data generated by community-driven mobile geo-sensor networks is a new and challenging problem. One important step for managing and querying sensor network data is to create abstractions of the data in the form of models. These mod ...

2012