46 research outputs found
Security and Privacy Analysis of Wearable Health Device
Wearable technology allows for consumers to record their healthcare data for either personal or clinical use via portable devices. As advancements in this technology continue to rise, the use of these devices has become more widespread. In this paper, we examine the significant security and privacy features of three health tracker devices: Fitbit, Jawbone and Google Glass. We also analyze the devices\u27 strength and how the devices communicate via its Bluetooth pairing process with mobile devices. We explore possible malicious attacks through Bluetooth networking. The outcomes of this analysis illustrate how these devices allow third parties to access sensitive information, such as the device exact location, which causes the potential privacy breach for users. We analyze and compare how unauthorized parties may access the user data and the challenges to secure user data on three wearable devices (Fitbit, Jawbone, and Google Glass) security vulnerability and attack type
Fusing spatial and temporal components for real-time depth data enhancement of dynamic scenes
The depth images from consumer depth cameras (e.g., structured-light/ToF devices) exhibit a substantial amount of artifacts (e.g., holes, flickering, ghosting) that needs to be removed for real-world applications. Existing methods cannot entirely remove them and perform slow. This thesis proposes a new real-time spatio-temporal depth image enhancement filter that completely removes flickering and ghosting, and significantly reduces holes. This thesis also presents a novel depth-data capture setup and two data reduction methods to optimize the performance of the proposed enhancement method
砒素汚染と微生物浄化の可能性 : 砒素汚染被害調査および生体鉱物作用により砒素汚染水の生物浄化に寄与するバイオマット中の耐砒素微生物の生物地球化学的機能に関する研究
取得学位:博士(学術),学位授与番号:博甲第605号,学位授与年月日:平成15年9月30日,学位授与年:200
Bioremediation of As Polluted Groundwater in Bangladesh ; Part 3 -Ferrisymplesite (Fe3(AsO4)2・6H2o) Formation in Biomates
金沢大学大学院自然科学研究科Scedule:17-18 March 2003, Vemue: Kanazawa, Japan, Kanazawa Citymonde Hotel, Project Leader : Hayakawa, Kazuichi, Symposium Secretariat: XO kamata, Naoto, Edited by:Kamata, Naoto
1.Biominerals
金沢大学大学院自然科学研究科 環境科学Editor : Tazaki, Kazue, Cover:Scanning electoron microscopic photograph of Gallionella sp. in biomats of Aso caldera, Kyusyu, Japan. Various shapes of Gallonella sp. are shown (image:Moriichi, Shingo).COE, 金沢大学 水・土壌環境領域シンポジウム「地球環境における微生物の役割」, 日時:2002年12月4日(水)13:00~, 場所:金沢大学理学部3階第一実験
BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
Falls among the elderly are a major health concern, frequently resulting in
serious injuries and a reduced quality of life. In this paper, we propose
"BlockTheFall," a wearable device-based fall detection framework which detects
falls in real time by using sensor data from wearable devices. To accurately
identify patterns and detect falls, the collected sensor data is analyzed using
machine learning algorithms. To ensure data integrity and security, the
framework stores and verifies fall event data using blockchain technology. The
proposed framework aims to provide an efficient and dependable solution for
fall detection with improved emergency response, and elderly individuals'
overall well-being. Further experiments and evaluations are being carried out
to validate the effectiveness and feasibility of the proposed framework, which
has shown promising results in distinguishing genuine falls from simulated
falls. By providing timely and accurate fall detection and response, this
framework has the potential to substantially boost the quality of elderly care.Comment: Accepted to publish in The 1st IEEE International Workshop on Digital
and Public Healt
1.Biominerals
金沢大学大学院自然科学研究科 環境科学東京工業大学Editor : Tazaki, Kazue, Cover:Scanning electoron microscopic photograph of Gallionella sp. in biomats of Aso caldera, Kyusyu, Japan. Various shapes of Gallonella sp. are shown (image:Moriichi, Shingo).COE, 金沢大学 水・土壌環境領域シンポジウム「地球環境における微生物の役割」, 日時:2002年12月4日(水)13:00~, 場所:金沢大学理学部3階第一実験
COVID-19 Prevention: Role of Activated Carbon
Recently, Coronavirus Disease 2019 (COVID-19) has brought the whole world into a pandemic condition, where the number of infected cases and deaths is exponentially high. A number of vaccines are available for this novel virus, but these are in the preliminary stage and are also not available to everyone. As the virus is very contagious, protection and prevention are the best way to survive and get rid of this disease. The virus affects the human body by entering through the nose, mouth, and eyes, so face protection with an appropriate mask is highly advisable. Combined masks made with activated carbon (AC) can effectively adsorb the virus because of its high surface area and broad functional groups. Such combined masks can also control coronavirus transmission by capturing harmful gases and smoke as they help in decreasing the spread of the viru