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Thilina Dissanayake
Thilina Dissanayake
Panasonic Holdings Corporation
Verified email at jp.panasonic.com - Homepage
Title
Cited by
Cited by
Year
Similarity of speech emotion in different languages revealed by a neural network with attention
C Fu, T Dissanayake, K Hosoda, T Maekawa, H Ishiguro
2020 IEEE 14th international conference on semantic computing (ICSC), 381-386, 2020
182020
Detecting door events using a smartphone via active sound sensing
T Dissanayake, T Maekawa, D Amagata, T Hara
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous …, 2018
122018
Indolabel: Predicting indoor location class by discovering location-specific sensor data motifs
T Dissanayake, T Maekawa, T Hara, T Miyanishi, M Kawanabe
IEEE Sensors Journal 22 (6), 5372-5385, 2021
102021
Preliminary investigation of detecting events of indoor objects with smartphone active sound sensing
T Dissanayake, T Maekawa, A Daichi, T Hara
2018 IEEE International Conference on Pervasive Computing and Communications …, 2018
22018
Joint Estimation of the Distance and Relative Velocity of Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety
T Dissanayake, T Maekawa, T Hara
2023 IEEE International Conference on Pervasive Computing and Communications …, 2023
2023
Preliminary investigation of obstacle recognition via smartphone active sound sensing for pedestrian safety
T Dissanayake
2021
Preliminary Investigation on Recognizing Environment-dependent Human Actions using a Fusion of Wi-Fi Based Place Clustering and Motif Detection from Accelerometer Data
T Dissanayake, T Maekawa, T Hara
2019
Preliminary investigation of indoor event detection using active sound probing
T Dissanayake, T MAEKAWA, D AMAKATA, T HARA
電子情報通信学会技術研究報告= IEICE technical report: 信学技報 117 (450 …, 2018
2018
Research on Sound-based Context Recognition Methods for User’s Surroundings using Smart Devices
T Dissanayake
Preliminary Investigation of Employing Smartphone Active Sound Sensing to Predict Distance and Relative Velocity of the Roadside Obstacles to Aid Distracted Pedestrians
T Dissanayake
Preliminary Investigation of Predicting the Distance and the Relative Velocity of the Obstacles via Smartphone Active Sound Sensing for Pedestrian Safety
T Dissanayake, T Maekawa, T Hara
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