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PrivacyNama Session: Data Protection Regulator Roundtable; October 7

We are pleased to announce the “Data Protection Regulator Roundtable” (October 7) at MediaNama’s PrivacyNama conference. Our speakers will discuss their experience in running a data protection commission, for our audience of stakeholders in India and across the world. We’ll be in conversation with Commissioner Adv Collen Weapond (South Africa) and Sharon Azarya (Israel). Renuka […] ....

Free State , South Africa , Kwazulu Natal , Shashank Mohan , Udbhav Tiwari Mozilla , Sukanya Thapliyal , Debapratim Ray Xiaomi , Deeksha Manchanda Chandhiok Mahajan , Monika Tomczak Gorlikowska Prosus , Prasanto Kumar Roy , Manisha Kapoor , Medianama Privacynama , Johannes Collen Weapond , Holm Myrstad , Sidharth Deb , Usha Ramanathan , Privacytech Demos , Sharon Shemesh Azarya , Aditi Agrawal Newslaundry , Collen Weapond , Ivana Bartoletti Wipro , Aparajita Bharati , Nikhil Pahwa Medianama , Sharon Azarya , Centre For Communication Governance , National Institute Of Public ,

PrivacyNama Session: Geopolitics, Data Segmentation and Cross Border Data Flows; October 6

We are pleased to announce the “Geopolitics, Data Segmentation and Cross Border Data Flows” panel (October 6) at MediaNama’s PrivacyNama conference, to understand issues around cross border data flows, the status of global conversations, and global priorities for countries, as well as challenges regarding data segmentation and national concerns. We’ll be in conversation with Arindrajit […] ....

West Bengal , New Delhi , Sukanya Thapliyal , Aarathi Ganesan , Sidharth Deb , Medianama Privacynama , Privacytech Demos , Arindrajit Basu , Supreme Court Observer , Internet Freedom Foundation , University Of Oxford , Bengal National University Of Juridical Sciences , Indian Institute Of Foreign , National Security , Senior Associate At Koan Advisory Group , University Of Petroleum , Esya Centre , Senior Research , Centre For Internet Society , President Research , Indian Law Institute , Data Segmentation , Cross Border Data , Non Resident Research Fellow , Programme Officer , Senior Associate ,

PrivacyNama: Announcing Keynote Speaker: Usha Ramanathan; Oct 6

We’re especially pleased to announce that Usha Ramanathan will be giving the keynote address (Oct 6) at MediaNama’s PrivacyNama conference, to discuss the fundamental and foundational principles of privacy. Session: Keynote Address Date: October 6, 2022 Time: 1:30 PM – 2:30 PM IST This is an invite-only event. Please register here to attend. About the Speaker Usha […] ....

Madhya Pradesh , Usha Ramanathan , Medianama Privacynama , Privacytech Demos , Supreme Court , National Judicial Academy , Expert Group On Privacy , Delhi Judicial Academy , Planning Commission Of India , Department Of Biotechnology , Bhopal Gas Disaster , Supreme Court Cases , Expert Group , Planning Commission , Draft Human , Prime Minister , Access Now , Human Rights Heroes Award , Data Protection Commissioners , Chief Privacy , Data Segmentation , Cross Border Data , Consumer Expectations , Data Monetisation , Data Protection Regulator , Government Access ,

"A single smartwatch-based segmentation approach in human activity reco" by Yande Li, Lulan Yu et al.

The development of smart wearable devices has driven the rapid progress of activity recognition. However, existing activity recognition methods are still struggling to recognize single arm swings due to coarse-grained sensor data segmentation. Refined arm-swing-wise data segmentation is vital in some specific cases, such as the rehabilitation of disabled patients. In this paper, we propose a smartwatch-based arm-swing-wise data segmentation approach for human activity recognition, which converts original sensor signals into square-wave signals to detect the cut-off points of each arm swing. Particularly, our method can adaptively adjust the window size and step size of a sliding window without considering the change of swing speed. Empirical evaluation on two datasets, a self-collected dataset and a publicly-available benchmark dataset, shows superior performance of our approach over other methods under different settings, such as classifiers, features, and wearing positions. ....

Activity Recognition , Data Segmentation ,