86 citations · 225 across the 7 of their papers we have counts for
7 papers
Recy-ctronics: Designing Fully Recyclable Electronics With Varied Form Factors
Tingyu Cheng, Zhihan Zhang, Han Huang +5
For today's electronics manufacturing process, the emphasis on stable functionality, durability, and fixed physical forms is designed to ensure long-term usability. However, this f…
MARS: Nano-Power Battery-free Wireless Interfaces for Touch, Swipe and Speech Input
Nivedita Arora, Ali Mirzazadeh, Injoo Moon +5
Augmenting everyday surfaces with interaction sensing capability that is maintenance-free, low-cost (about $1), and in an appropriate form factor is a challenge with current techno…
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition
Hyeokhyen Kwon, Catherine Tong, Harish Haresamudram +4
The lack of large-scale, labeled data sets impedes progress in developing robust and generalized predictive models for on-body sensor-based human activity recognition (HAR). Labele…
Leveraging WiFi Network Logs to Infer Student Collocation and its Relationship with Academic Performance
V. Das Swain, H. Kwon, S. Sargolzaei +10
A comprehensive understanding of collocation can help understand performance outcomes. For university cohorts, this needs data that describes large groups over a long period. Harne…
Face Card: An Information-sharing Framework on Google Glass
Weiren Wang, Miseon Park, Yuanzhe Fan +2
Wearable devices such as Google Glass can provide an efficient way to get around users information. We present Face Card, a system builds on Google Glass to provide information-sha…
Leveraging Context to Support Automated Food Recognition in Restaurants
Vinay Bettadapura, Edison Thomaz, Aman Parnami +2
The pervasiveness of mobile cameras has resulted in a dramatic increase in food photos, which are pictures reflecting what people eat. In this paper, we study how taking pictures o…
Predicting Daily Activities From Egocentric Images Using Deep Learning
Daniel Castro, Steven Hickson, Vinay Bettadapura +4
We present a method to analyze images taken from a passive egocentric wearable camera along with the contextual information, such as time and day of week, to learn and predict ever…