Number of co-authors:18
Number of publications with 3 favourite co-authors:Shwetak N. Patel:6Matthew S. Reynolds:4Gabe Cohn:3
Sidhant Gupta's 3 most productive colleagues in number of publications:Desney S. Tan:39Shwetak N. Patel:35Nicolas Villar:32
Computer programs emerge as the outcome of complex human processes of cognition, communication and negotiation, which serve to establish the meaningful embedding of the computer system in its intended use context.
-- Floyd, 1992, p. 24
Read the fascinating history of Wearable Computing, told by its father, Steve Mann
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The Social Design of Technical Systems: Building technologies for communities
by Brian Whitworth and Adnan Ahmad
The Encyclopedia of Human-Computer Interaction, 2nd Ed.
by Mads Soegaard and Rikke Friis Dam
Publications by Sidhant Gupta (bibliography)
Cohn, Gabe, Gupta, Sidhant, Lee, Tien-Jui, Morris, Dan, Smith, Joshua R., Reynolds, Matthew S., Tan, Desney S. and Patel, Shwetak N. (2012): An ultra-low-power human body motion sensor using static electric field sensing. In: Proceedings of the 2012 International Conference on Uniquitous Computing 2012. pp. 99-102.
Wearable sensor systems have been used in the ubiquitous computing community and elsewhere for applications such as activity and gesture recognition, health and wellness monitoring, and elder care. Although the power consumption of accelerometers has already been highly optimized, this work introduces a novel sensing approach which lowers the power requirement for motion sensing by orders of magnitude. We present an ultra-low-power method for passively sensing body motion using static electric fields by measuring the voltage at any single location on the body. We present the feasibility of using this sensing approach to infer the amount and type of body motion anywhere on the body and demonstrate an ultra-low-power motion detector used to wake up more power-hungry sensors. The sensing hardware consumes only 3.3 μW, and wake-up detection is done using an additional 3.3 μW (6.6 μW total).
© All rights reserved Cohn et al. and/or ACM Press
Badshah, Akash, Gupta, Sidhant, Cohn, Gabe, Villar, Nicolas, Hodges, Steve and Patel, Shwetak N. (2011): Interactive generator: a self-powered haptic feedback device. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2051-2054.
We present Interactive Generator (InGen), a self-powered wireless rotary input device capable of generating haptic or force feedback without the need for any external power source. Our approach uses a modified servomotor to perform three functions: (1) generating power for wireless communication and embedded electronics, (2) sensing the direction and speed of rotation, and (3) providing force feedback during rotation. While InGen is rotating, the device is capable of providing the sensation of detents or bumps, changes in stiffness, and abrupt stops using only power that is harvested during interaction. We describe the device in detail, demonstrate an initial 'TV remote control' application, and end with a discussion of our experiences developing the prototype and application. To the best of our knowledge, InGen is the first self-powered device, which also provides haptic feedback during operation. More broadly, this work demonstrates a new class of input systems that uses human-generated power to provide feedback to the user and wirelessly communicate sensed information.
© All rights reserved Badshah et al. and/or their publisher
Larson, Eric, Cohn, Gabe, Gupta, Sidhant, Ren, Xiaofeng, Harrison, Beverly, Fox, Dieter and Patel, Shwetak (2011): HeatWave: thermal imaging for surface user interaction. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 2565-2574.
We present HeatWave, a system that uses digital thermal imaging cameras to detect, track, and support user interaction on arbitrary surfaces. Thermal sensing has had limited examination in the HCI research community and is generally under-explored outside of law enforcement and energy auditing applications. We examine the role of thermal imaging as a new sensing solution for enhancing user surface interaction. In particular, we demonstrate how thermal imaging in combination with existing computer vision techniques can make segmentation and detection of routine interaction techniques possible in real-time, and can be used to complement or simplify algorithms for traditional RGB and depth cameras. Example interactions include (1) distinguishing hovering above a surface from touch events, (2) shape-based gestures similar to ink strokes, (3) pressure based gestures, and (4) multi-finger gestures. We close by discussing the practicality of thermal sensing for naturalistic user interaction and opportunities for future work.
© All rights reserved Larson et al. and/or their publisher
Gupta, Sidhant, Chen, Ke-Yu, Reynolds, Matthew S. and Patel, Shwetak N. (2011): LightWave: using compact fluorescent lights as sensors. In: Proceedings of the 2011 International Conference on Uniquitous Computing 2011. pp. 65-74.
In this paper, we describe LightWave, a sensing approach that turns ordinary compact fluorescent light (CFL) bulbs into sensors of human proximity. Unmodified CFL bulbs are shown to be sensitive proximity transducers when they are illuminated. This approach utilizes predictable variations in electromagnetic noise resulting from the change in impedance due to the proximity of a human body to the bulb. The electromagnetic noise can be sensed from any point along a home's electrical wiring. This allows users to perform gestures near any CFL lighting fixture, even when multiple lamps are operational. Gestures can be sensed using a single interface device plugged into any electrical outlet. We experimentally show that we can reliably detect hover gestures (waving a hand close to a lamp), touches on lampshades, and touches on the glass part of the bulb itself. Additionally, we show that touches anywhere along the body of a metal lamp can be detected. These basic detectable signals can then be combined to form complex gesture sequences for a variety of applications. We also show that CFLs can function as more general-purpose sensors for distributed human motion detection and ambient temperature sensing.
© All rights reserved Gupta et al. and/or ACM Press
Gupta, Sidhant, Reynolds, Matthew S. and Patel, Shwetak N. (2010): ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home. In: Proceedings of the 2010 International Conference on Uniquitous Computing 2010. pp. 139-148.
This paper presents ElectriSense, a new solution for automatically detecting and classifying the use of electronic devices in a home from a single point of sensing. ElectriSense relies on the fact that most modern consumer electronics and fluorescent lighting employ switch mode power supplies (SMPS) to achieve high efficiency. These power supplies continuously generate high frequency electromagnetic interference (EMI) during operation that propagates throughout a home's power wiring. We show both analytically and by in-home experimentation that EMI signals are stable and predictable based on the device's switching frequency characteristics. Unlike past transient noise-based solutions, this new approach provides the ability for EMI signatures to be applicable across homes while still being able to differentiate between similar devices in a home. We have evaluated our solution in seven homes, including one six-month deployment. Our results show that ElectriSense can identify and classify the usage of individual devices with a mean accuracy of 93.82%.
© All rights reserved Gupta et al. and/or their publisher
Patel, Shwetak N., Gupta, Sidhant and Reynolds, Matthew S. (2010): The design and evaluation of an end-user-deployable, whole house, contactless power consumption sensor. In: Proceedings of ACM CHI 2010 Conference on Human Factors in Computing Systems 2010. pp. 2471-2480.
We present the design, development, and evaluation of an end-user installable, whole house power consumption sensing system capable of gathering accurate real-time power use that does not require installing a current transformer around the electrical feeds in a home. Rather, our sensor system offers contactless operation by simply placing it on the outside of the breaker panel in a home. Although there are a number of existing commercial systems for gathering energy use in a home, almost none can easily and safely be installed by a homeowner (especially for homes in the U.S.). Our approach leverages advances in magnetoresistive materials and circuit design to allow contactless operation by reliably sensing the magnetic field induced by the 60 Hz current and a closed loop circuit allows us to precisely infer the power consumption in real-time. The contribution of this work is an enabling technology for researchers in the fields of Ubiquitous Computing and Human-Computer Interaction wanting to conduct practical large-scale deployments of end-user-deployable energy monitoring applications. We discuss the technical details, the iterative design, and end-user evaluations of our sensing approach.
© All rights reserved Patel et al. and/or their publisher
Gupta, Sidhant, Campbell, Tim, Hightower, Jeffrey R. and Patel, Shwetak N. (2010): SqueezeBlock: using virtual springs in mobile devices for eyes-free interaction. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 101-104.
Haptic feedback provides an additional interaction channel when auditory and visual feedback may not be appropriate. We present a novel haptic feedback system that changes its elasticity to convey information for eyes-free interaction. SqueezeBlock is an electro-mechanical system that can realize a virtual spring having a programmatically controlled spring constant. It also allows for additional haptic modalities by altering the Hooke's Law linear-elastic force-displacement equation, such as non-linear springs, size changes, and spring length (range of motion) variations. This ability to program arbitrarily spring constants also allows for "click" and button-like feedback. We present several potential applications along with results from a study showing how well participants can distinguish between several levels of stiffness, size, and range of motion. We conclude with implications for interaction design.
© All rights reserved Gupta et al. and/or their publisher
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