Automated sensing of daily activity: A new lens into development
K de Barbaro - Developmental psychobiology, 2019 - Wiley Online Library
Rapidly maturing technologies for sensing and activity recognition can provide
unprecedented access to the complex structure daily activity and interaction, promising new …
unprecedented access to the complex structure daily activity and interaction, promising new …
An outlook into the future of egocentric vision
What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …
research in egocentric vision and the ever-anticipated future, where wearable computing …
Users' privacy concerns about wearables: impact of form factor, sensors and type of data collected
Wearables have become popular in several application domains, including healthcare,
entertainment and security. Their pervasiveness, small size and autonomy, enlarges the …
entertainment and security. Their pervasiveness, small size and autonomy, enlarges the …
Privacy behaviors of lifeloggers using wearable cameras
A number of wearable'lifelogging'camera devices have been released recently, allowing
consumers to capture images and other sensor data continuously from a first-person …
consumers to capture images and other sensor data continuously from a first-person …
Leveraging context to support automated food recognition in restaurants
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 of …
which are pictures reflecting what people eat. In this paper, we study how taking pictures of …
Automated estimation of food type and amount consumed from body-worn audio and motion sensors
M Mirtchouk, C Merck, S Kleinberg - … of the 2016 ACM International Joint …, 2016 - dl.acm.org
Determining when an individual is eating can be useful for tracking behavior and identifying
patterns, but to create nutrition logs automatically or provide real-time feedback to people …
patterns, but to create nutrition logs automatically or provide real-time feedback to people …
Predicting daily activities from egocentric images using deep learning
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 …
along with the contextual information, such as time and day of week, to learn and predict …
Enhancing lifelogging privacy by detecting screens
M Korayem, R Templeman, D Chen… - Proceedings of the …, 2016 - dl.acm.org
Low-cost, lightweight wearable cameras let us record (or'lifelog') our lives from a'first-
person'perspective for purposes ranging from fun to therapy. But they also capture private …
person'perspective for purposes ranging from fun to therapy. But they also capture private …
Mitigating bystander privacy concerns in egocentric activity recognition with deep learning and intentional image degradation
Recent advances in wearable camera technology and computer vision algorithms have
greatly enhanced the automatic capture and recognition of human activities in real-world …
greatly enhanced the automatic capture and recognition of human activities in real-world …
Unintrusive eating recognition using Google Glass
SA Rahman, C Merck, Y Huang… - 2015 9th International …, 2015 - ieeexplore.ieee.org
Activity recognition has many health applications, from helping individuals track meals and
exercise to providing treatment reminders to people with chronic illness and improving …
exercise to providing treatment reminders to people with chronic illness and improving …