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Hsing-Mang Wang

dblp:227/8053 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 77% Health and well-being technologies · 23%

Topics — the 1 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › motion sensing
wearable motion sensing
0.312018
SaFePlay+: A Wearable Cycling Measurement and Analysis System of Lower Limbs · MobiCom 2018

Methods — techniques the papers use, named apart from their topics

wearable power analyzer · 0.3pressure sensing insole · 0.3
YearPublicationVenuePosition
2018 SaFePlay+: A Wearable Cycling Measurement and Analysis System of Lower Limbs
abstract
Different from the ordinary apparatus and plug-in devices on bikes, this research brings up a novel system called SaFePlay+, Smart Footwear Platform Plus. The system includes a pair of knee motion sensing module and smart pressure and motion sensing insole, analyzed module and interactive App. SaFePlay+ can immediately collect lower limbs information of users. Moreover, through the novel algorithm of wearable power analyzer, it can help users to understand their body condition in order to adjust the posture, raise the efficiency and avoid sports injury. Through the verification of the apparatus, it shows that our method can get good cadence and power performance.
Tse-Yu Lin, Shih-Yao Wei, Heng-Yi Chen, Li-Yang Huang, Chih-Yun Liu, An-Chun Chen, Yin-Yu Chou, Hsing-Mang Wang
MobiCom8
2018 HP2: Using Machine Learning Model to Play Serious Game with IMU Smart Suit
abstract
Office workers usually have problems of back and neck pain because of their bad posture which they always keep. In order to solve the problems, we design a smart suit, Heath Posture Protector (HP2), and 4 serious games for rehabilitation. Besides, we use machine learning to train the motion model and apply the model in playing the serious games. We expect the user who wears the smart suit HP2 can easily play the serious games, and furthermore, they can stretch the muscles of upper body by the guidance in games to reduce or even prevent the problems of upper-body pains.
Heng-Yi Chen, Tse-Yu Lin, Li-Yang Huang, An-Chun Chen, Hsing-Mang Wang, Shih-Yao Wei, Yin-Yu Chou
MUM6