Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleApril 2023
Varying Subjective Speed-accuracy Biases to Evaluate the Generalizability of Experimental Conclusions on Pointing-facilitation Techniques
CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing SystemsArticle No.: 317, Pages 1–13https://doi.org/10.1145/3544548.3580740In typical experiments to evaluate novel pointing-facilitation techniques, participants are asked to perform a task as rapidly and accurately as possible. However, the balance can differ among participants, and the techniques’ effectiveness would change ...
- abstractApril 2020
Head-Coupled Kinematic Template Matching for Target Selection in Hangry Piggos
- Rorik Henrikson,
- Daniel Clarke,
- Thomas White,
- Frances Lai,
- Michael Glueck,
- Stephanie Santosa,
- Daniel Wigdor,
- Tovi Grossman,
- Sean Trowbridge,
- Hrvoje Benko
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–4https://doi.org/10.1145/3334480.3383176We demonstrate Head-Coupled Kinematic Template Matching (HC-KTM) - a new technique to predict a ray pointer's landing position (end-position and angle) for selection movements in virtual reality (VR) environments. The technique adapts and extends a prior ...
- research-articleApril 2020
Head-Coupled Kinematic Template Matching: A Prediction Model for Ray Pointing in VR
CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–14https://doi.org/10.1145/3313831.3376489This paper presents a new technique to predict the ray pointer landing position for selection movements in virtual reality (VR) environments. The technique adapts and extends a prior 2D kinematic template matching method to VR environments where ray ...
- research-articleSeptember 2015Best Paper
An ensemble SVM model for the accurate prediction of non-canonical MicroRNA targets
BCB '15: Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health InformaticsPages 403–412https://doi.org/10.1145/2808719.2808761Background MicroRNAs are small non-coding endogenous RNAs that are responsible for post-transcriptional regulation of genes. Given that large numbers of human genes are targeted by microRNAs, understanding the precise mechanism of microRNA action and ...
- posterApril 2014
Multimodal target prediction model
CHI EA '14: CHI '14 Extended Abstracts on Human Factors in Computing SystemsPages 1543–1548https://doi.org/10.1145/2559206.2581151This paper presents a Neural Network based model that can be used to predict pointing target for both physical and situational impairment. The model takes different trajectory profiles like velocity, acceleration and bearing of movement as input ...
- research-articleApril 2014
Mouse pointing endpoint prediction using kinematic template matching
CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing SystemsPages 743–752https://doi.org/10.1145/2556288.2557406We present a new method of predicting the endpoints of mouse movements. While prior approaches to endpoint prediction have relied upon normative kinematic laws, regression, or control theory, our approach is straightforward but kinematically rich. Our ...
- research-articleMay 2013
Computational regulatory network construction from microRNA and transcription factor perspectives
ACM SIGBioinformatics Record (SIGBIO), Volume 3, Issue 2Article No.: 1, Pages 1–5https://doi.org/10.1145/2500124.2500125As more genomic and epigenomic data becomes available, it has become possible to construct biological networks from the omics data. Among the biological networks, understanding gene regulatory mechanisms is a very important research problem that can ...
- articleMay 2013
Reformulated Kemeny Optimal Aggregation with Application in Consensus Ranking of microRNA Targets
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), Volume 10, Issue 3Pages 742–751https://doi.org/10.1109/TCBB.2013.74MicroRNAs are very recently discovered small noncoding RNAs, responsible for negative regulation of gene expression. Members of this endogenous family of small RNA molecules have been found implicated in many genetic disorders. Each microRNA targets ...
- research-articleApril 2013
Probability-Based Prediction and Sleep Scheduling for Energy-Efficient Target Tracking in Sensor Networks
IEEE Transactions on Mobile Computing (ITMV), Volume 12, Issue 4Pages 735–747https://doi.org/10.1109/TMC.2012.44A surveillance system, which tracks mobile targets, is one of the most important applications of wireless sensor networks. When nodes operate in a duty cycling mode, tracking performance can be improved if the target motion can be predicted and nodes ...
- ArticleOctober 2012
Enriching miRNA binding site specificity with sequence profile based filtering of 3'-UTR region of mRNA
BIBMW '12: Proceedings of the 2012 IEEE International Conference on Bioinformatics and Biomedicine Workshops (BIBMW)Pages 558–563https://doi.org/10.1109/BIBMW.2012.6470200MicroRNAs are small (approx. 22nt) noncoding RNAs that regulate gene expression by either degrading messenger-RNA (mRNA) that has already been transcribed or by repressing the translation of mRNA. This mechanism of gene regulation by binding of the ...
- ArticleNovember 2011
imiRTP: An Integrated Method to Identifying miRNA-target Interactions in Arabidopsis thaliana
BIBM '11: Proceedings of the 2011 IEEE International Conference on Bioinformatics and BiomedicinePages 100–104https://doi.org/10.1109/BIBM.2011.13MiRNA are about 22nt long small noncoding RNAs that post transcription ally regulate gene expression in animals, plants and protozoa. Confident identification of MiRNA-Target Interactions (MTI) is vital to understand their function. Currently, several ...
- research-articleOctober 2011
SPEED: prédiction de cibles
IHM '11: Proceedings of the 23rd Conference on l'Interaction Homme-MachineArticle No.: 19, Pages 1–4https://doi.org/10.1145/2044354.2044378We present the SPEED method to predict endpoints, based on analysis of the kinetic characteristics of the pointing gesture. Our model splits the gesture into an acceleration phase and a deceleration phase to precisely detect target. The first phase ...
- research-articleJuly 2008
Design and evaluation of haptic effects for use in a computer desktop for the physically disabled
PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive EnvironmentsArticle No.: 9, Pages 1–8https://doi.org/10.1145/1389586.1389597The human-computer interface remains a mostly visual environment with little or no haptic interaction. While haptics is finding inroads in specialized areas such as surgery, gaming, and robotics, there has been little work to bring haptics to the ...
- articleApril 2005
Walking pedestrian tracking among several pedestrians by dynamic camera
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems (UFKS), Volume 13, Issue 2Pages 205–223https://doi.org/10.1142/S0218488505003400In tracking a walking pedestrian among multiple walking pedestrians by movable camera, the pedestrian-target determination is sometimes mistaken, and it needs real-time image processing. This paper proposes an approach for tracking a walking pedestrian ...
- research-articleFebruary 2004
Power-Aware Branch Prediction: Characterization and Design
IEEE Transactions on Computers (ITCO), Volume 53, Issue 2Pages 168–186https://doi.org/10.1109/TC.2004.1261827Abstract--This paper uses Wattch and the SPEC 2000 integer and floating-point benchmarks to explore the role of branch predictor organization in power/energy/performance trade offs for processor design. Even though the direction predictor by itself ...
- ArticleJanuary 2004
Structure-function relationship in DNA sequence recognition by transcription factors
APBC '04: Proceedings of the second conference on Asia-Pacific bioinformatics - Volume 29Pages 233–238Transcription factors play essential role in the gene regulation in higher organisms, binding to multiple target sequences and regulating multiple genes in a complex manner. In order to understand the molecular mechanism of target recognition, and to ...