3 citations · 8 across the 9 of their papers we have counts for
10 papers
A Mechanical Antenna for Improving Capacity Fairness in Dynamic Multi-Station Scenarios
Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki
While indoor Internet of Things (IoT) and sensor networks increasingly rely on Wi-Fi access points (APs) to collect high-bandwidth data streams from multiple devices, conventional…
PocketPPD: Screening for Postpartum Depression Risk Using Passive Smartphone Sensing
Jia Tang, Helinyi Peng, Akihito Taya +4
Postpartum depression (PPD) is a serious perinatal mental health condition affecting approximately 20% of new mothers worldwide. Common screening approaches for PPD, such as self-r…
Function-Space ADMM for Decentralized Federated Learning: A Control Theoretic Perspective
Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki
Decentralized federated learning (FL) is a promising approach for training machine learning models on sensor networks, Internet of Things (IoT) devices, and other edge systems wher…
AEDHunter: Investigating AED Retrieval in the Real World via Gamified Mobile Interaction and Sensing
Helinyi Peng, Akihito Taya, Yuuki Nishiyama +1
Early defibrillation significantly improves survival rates in cases of out-of-hospital cardiac arrest. However, limited public awareness of Automated External Defibrillator (AED) l…
A Mechanical Wi-Fi Antenna Device for Automatic Orientation Tuning with Bayesian Optimization
Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki
Wi-Fi access points have been widely deployed in homes, offices, and public spaces. Some APs allow users to adjust the antenna orientation to improve communication performance by o…
Poster: Recognizing Hidden-in-the-Ear Private Key for Reliable Silent Speech Interface Using Multi-Task Learning
Xuefu Dong, Liqiang Xu, Lixing He +6
Silent speech interface (SSI) enables hands-free input without audible vocalization, but most SSI systems do not verify speaker identity. We present HEar-ID, which uses consumer ac…
Image Generative Semantic Communication with Multi-Modal Similarity Estimation for Resource-Limited Networks
Eri Hosonuma, Taku Yamazaki, Takumi Miyoshi +3
To reduce network traffic and support environments with limited resources, a method for transmitting images with minimal transmission data is required. Several machine learning-bas…
Convergence Visualizer of Decentralized Federated Distillation with Reduced Communication Costs
Akihito Taya, Yuuki Nishiyama, Kaoru Sezaki
Federated learning (FL) achieves collaborative learning without the need for data sharing, thus preventing privacy leakage. To extend FL into a fully decentralized algorithm, resea…
Estimating Sunlight Using GNSS Signal Strength from Smartphone
Yuuki Nishiyama, Kosuke Hatai, Kota Tsubouchi +1
Excessive or inadequate exposure to ultraviolet light (UV) is harmful to health and causes osteoporosis, colon cancer, and skin cancer. The UV Index, a standard scale of UV light,…
Physical Activity Analysis of College Students During the COVID-19 Pandemic Using Smartphones
Yuuki Nishiyama, Yuui Kakino, Enishi Naka +12
Owing to the pandemic caused by the coronavirus disease of 2019 (COVID-19), several universities have closed their campuses for preventing the spread of infection. Consequently, th…