Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jack R. Engsberg
dblp:60/8368
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Human-computer interaction and ubiquitous computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Human-computer interaction and pervasive computing
1 paper |
Health and well-being technologies · 100% | |
| Artificial intelligence
1 paper |
Motion planning and robot control · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Robotics › Motion planning and robot control › locomotion control
gait adaptation |
0.1 | 1 | 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot Orthosis · ICRA 2010 |
Robotics › Motion planning and robot control
robot control |
0.1 | 1 | 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot Orthosis · ICRA 2010 |
Health and well-being technologies › rehabilitation technology › rehabilitation robotics
gait rehabilitation |
0.1 | 1 | 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot Orthosis · ICRA 2010 |
Health and well-being technologies › rehabilitation technology
rehabilitation robotics |
0.1 | 1 | 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot Orthosis · ICRA 2010 |
Health and well-being technologies › rehabilitation
stroke rehabilitation |
0.0 | 1 | 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot Orthosis · ICRA 2010 |
Methods — techniques the papers use, named apart from their topics
robot sensor data · 0.2motion capture · 0.2functional walk test · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | Stroke therapy through motion-based games: a case studyabstractIn the United States alone, more than five million people are living with long term motor impairments caused by a stroke. Video game-based therapies show promise in helping people recover lost range of motion and motor control. While researchers have demonstrated the potential utility of game-based rehabilitation through controlled studies, relatively little work has explored longer-term home-based use of therapeutic games. We conducted a six-week home study with a 62 year old woman who was seventeen years post-stroke. She played therapeutic games for approximately one hour a day, five days a week. Over the six weeks, she recovered significant motor abilities, which is unexpected given the time since her stroke. Through observations and interviews, we present lessons learned about the barriers and opportunities that arise from long-term home-based use of therapeutic games. Gazihan Alankus, Rachel Proffitt, Caitlin Kelleher, Jack R. Engsberg |
ASSETS | 4 |
| 2010 | Stroke survivor gait adaptation and performance after training on a Powered Ankle Foot OrthosisabstractWith over 600 thousand people each year surviving a stroke, it has become the leading cause of serious long-term disability in the United States [1], [2]. The adverse financial and social conditions attributed to stroke have prompted researchers and entrepreneurs to explore the viability of rehabilitation robots. The Powered Ankle Foot Orthosis (PAFO) utilizes robotic tendon technology and supports motion with a single degree of freedom, ankle rotation in the Sagittal plane. Motion capture data, robot sensor data, and functional 6 minute walk data were collected on three stroke subjects. All subjects had some positive changes in their key gait variables while using the PAFO. These changes were more dramatic while harnessed and using a treadmill as opposed to walking over ground. Robot sensor data showed significant improvements on key variables for the three subjects. Motion capture data showed improvements in knee range of motion for subject 1, and the 6 minute walk data showed an increase in distance walked for subjects 1 and 3. Comfort, stability, and robustness proved to be critical design parameters for developing a gait therapy robot capable of collecting repeatable data with low variability. Jeffrey A. Ward, Thomas Sugar, John Standeven, Jack R. Engsberg |
ICRA | 4 |