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Dive into the research topics where Vikram Iyer is active.

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Featured researches published by Vikram Iyer.


human factors in computing systems | 2016

FingerIO: Using Active Sonar for Fine-Grained Finger Tracking

Rajalakshmi Nandakumar; Vikram Iyer; Desney S. Tan; Shyamnath Gollakota

We present fingerIO, a novel fine-grained finger tracking solution for around-device interaction. FingerIO does not require instrumenting the finger with sensors and works even in the presence of occlusions between the finger and the device. We achieve this by transforming the device into an active sonar system that transmits inaudible sound signals and tracks the echoes of the finger at its microphones. To achieve sub-centimeter level tracking accuracies, we present an innovative approach that use a modulation technique commonly used in wireless communication called Orthogonal Frequency Division Multiplexing (OFDM). Our evaluation shows that fingerIO can achieve 2-D finger tracking with an average accuracy of 8 mm using the in-built microphones and speaker of a Samsung Galaxy S4. It also tracks subtle finger motion around the device, even when the phone is in the pocket. Finally, we prototype a smart watch form-factor fingerIO device and show that it can extend the interaction space to a 0.5×0.25 m2 region on either side of the device and work even when it is fully occluded from the finger.


ubiquitous computing | 2016

Enabling on-body transmissions with commodity devices

Mehrdad Hessar; Vikram Iyer; Shyamnath Gollakota

We show for the first time that commodity devices can be used to generate wireless data transmissions that are confined to the human body. Specifically, we show that commodity input devices such as fingerprint sensors and touchpads can be used to transmit information to only wireless receivers that are in contact with the body. We characterize the propagation of the resulting transmissions across the whole body and run experiments with ten subjects to demonstrate that our approach generalizes across different body types and postures. We also evaluate our communication system in the presence of interference from other wearable devices such as smartwatches and nearby metallic surfaces. Finally, by modulating the operations of these input devices, we demonstrate bit rates of up to 50 bits per second over the human body.


ACM Transactions on Graphics | 2017

3D printing wireless connected objects

Vikram Iyer; Justin Chan; Shyamnath Gollakota

Our goal is to 3D print wireless sensors, input widgets and objects that can communicate with smartphones and other Wi-Fi devices, without the need for batteries or electronics. To this end, we present a novel toolkit for wireless connectivity that can be integrated with 3D digital models and fabricated using commodity desktop 3D printers and commercially available plastic filament materials. Specifically, we introduce the first computational designs that 1) send data to commercial RF receivers including Wi-Fi, enabling 3D printed wireless sensors and input widgets, and 2) embed data within objects using magnetic fields and decode the data using magnetometers on commodity smartphones. To demonstrate the potential of our techniques, we design the first fully 3D printed wireless sensors including a weight scale, flow sensor and anemometer that can transmit sensor data. Furthermore, we 3D print eyeglass frames, armbands as well as artistic models with embedded magnetic data. Finally, we present various 3D printed application prototypes including buttons, smart sliders and physical knobs that wirelessly control music volume and lights as well as smart bottles that can sense liquid flow and send data to nearby RF devices, without batteries or electronics.


Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies archive | 2018

Charging a Smartphone Across a Room Using Lasers

Vikram Iyer; Elyas Bayati; Rajalakshmi Nandakumar; Arka Majumdar; Shyamnath Gollakota

We demonstrate a novel laser-based wireless power delivery system that can charge mobile devices such as smartphones across a room. The key challenges in achieving this are multi-fold: delivering greater than a watt of power across the room, minimizing the exposure of the resulting high-power lasers to human tissue, and finally ensuring that the design meets the form-factor requirements of a smartphone and requires minimal instrumentation to the environment. This paper presents a novel, and to the best of our knowledge, the first design, implementation and evaluation of an end-to-end power delivery system that satisfies all the above requirements. Our results show that we can deliver more than 2 W at ranges of 4.3 m and 12.2 m for a smartphone (25 cm2) and table-top form factor (100 cm2) receiver respectively. Further, extensive characterization of our safety system shows that we can turn off our laser source much before a human moving at a maximum speed of 44 m/s can even enter the high-power laser beam area.


international conference on solid state sensors actuators and microsystems | 2015

Encapsulation of integrated circuits in plastic microfluidic systems using hot embossing

Vikram Iyer; P. Murali; J. Paredes; Dorian Liepmann; Bernhard E. Boser

A method for fabricating thermoplastic cartridges encapsulating integrated circuits, electrodes, and microfluidic channels using hot embossing is described for the application of a point of care magnetic label flow cytometer. Finished devices with a microchannel depth of 86 μm and RMS surface roughness of 1.6 μm are capable of operating at pressures of up to 227 kPa without leaks. The device was used to evaluate the efficiency of an on chip magnetic focusing structure which successfully focused 98% of the 4.5 μm Dynabeads® to a 30 μm target region using 100 mA of current and a 4 mT external field.


acm/ieee international conference on mobile computing and networking | 2016

Enabling on-body transmissions with commodity devices: poster

Mehrdad Hessar; Vikram Iyer; Shyamnath Gollakota

In this poster, we show for the first time that commodity devices can be used to generate wireless data transmissions that are confined to the human body. Specifically, we show that commodity input devices such as fingerprint sensors and touchpads can be used to transmit information to only wireless receivers that are in contact with the body.


user interface software and technology | 2018

Wireless Analytics for 3D Printed Objects

Vikram Iyer; Justin Chan; Ian Culhane; Jennifer Mankoff; Shyamnath Gollakota

We present the first wireless physical analytics system for 3D printed objects using commonly available conductive plastic filaments. Our design can enable various data capture and wireless physical analytics capabilities for 3D printed objects, without the need for electronics. To achieve this goal, we make three key contributions: (1) demonstrate room scale backscatter communication and sensing using conductive plastic filaments, (2) introduce the first backscatter designs that detect a variety of bi-directional motions and support linear and rotational movements, and (3) enable data capture and storage for later retrieval when outside the range of the wireless coverage, using a ratchet and gear system. We validate our approach by wirelessly detecting the opening and closing of a pill bottle, capturing the joint angles of a 3D printed e-NABLE prosthetic hand, and an insulin pen that can store information to track its use outside the range of a wireless receiver.


international conference on embedded networked sensor systems | 2018

3D Localization for Sub-Centimeter Sized Devices

Rajalakshmi Nandakumar; Vikram Iyer; Shyamnath Gollakota

The vision of tracking small IoT devices runs into the reality of localization technologies --- today it is difficult to continuously track objects through walls in homes and warehouses on a coin cell battery. While Wi-Fi and ultra-wideband radios can provide tracking through walls, they do not last more than a month on small coin and button cell batteries since they consume tens of milliwatts of power. We present the first localization system that consumes microwatts of power at a mobile device and can be localized across multiple rooms in settings like homes and hospitals. To this end, we introduce a multi-band backscatter prototype that operates across 900 MHz, 2.4 and 5 GHz and can extract the backscatter phase information from signals that are below the noise floor. We build sub-centimeter sized prototypes which consume 93 μW and could last five to ten years on button cell batteries. We achieved ranges of up to 60 m away from the AP and accuracies of 2, 12, 50 and 145 cm at 1, 5, 30 and 60 m respectively. To demonstrate the potential of our design, we deploy it in two real-world scenarios: five homes in a metropolitan area and the surgery wing of a hospital in patient pre-op and post-op rooms as well as storage facilities.


acm/ieee international conference on mobile computing and networking | 2018

Surface MIMO: Using Conductive Surfaces For MIMO Between Small Devices

Justin Chan; Anran Wang; Vikram Iyer; Shyamnath Gollakota

As connected devices continue to decrease in size, we explore the idea of leveraging everyday surfaces such as tabletops and walls to augment the wireless capabilities of devices. Specifically, we introduce Surface MIMO, a technique that enables MIMO communication between small devices via surfaces coated with conductive paint or covered with conductive cloth. These surfaces act as an additional spatial path that enables MIMO capabilities without increasing the physical size of the devices themselves. We provide an extensive characterization of these surfaces that reveal their effect on the propagation of EM waves. Our evaluation shows that we can enable additional spatial streams using the conductive surface and achieve average throughput gains of 2.6-3x for small devices. Finally, we also leverage the wideband characteristics of these conductive surfaces to demonstrate the first Gbps surface communication system that can directly transfer bits through the surface at up to 1.3Gbps.


networked systems design and implementation | 2017

FM backscatter: enabling connected cities and smart fabrics

Anran Wang; Vikram Iyer; Vamsi Talla; Joshua R. Smith; Shyamnath Gollakota

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Justin Chan

University of Washington

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Vamsi Talla

University of Washington

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Bryce Kellogg

University of Washington

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Mehrdad Hessar

University of Washington

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Arka Majumdar

University of Washington

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